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Dimensionality reduction model based on integer planning for the analysis of key indicators affecting life expectancy

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Abdi, H., & Williams, L. J. (2010). Principal component analysis. Wiley interdisciplinary reviews: computational statistics, 2(4), 433–459. Abdi H. Williams L. J. ( 2010 ). Principal component analysis . Wiley interdisciplinary reviews: computational statistics , 2 ( 4 ), 433 459 . Search in Google Scholar

Achterberg, T., Bixby, R. E., Gu, Z., Rothberg, E., & Weninger, D. (2020). Presolve reductions in mixed integer programming. INFORMS Journal on Computing, 32(2), 473–506. Achterberg T. Bixby R. E. Gu Z. Rothberg E. Weninger D. ( 2020 ). Presolve reductions in mixed integer programming . INFORMS Journal on Computing , 32 ( 2 ), 473 506 . Search in Google Scholar

Alexiou, A., Mason, K., Fahy, K., Taylor-Robinson, D., & Barr, B. (2021). Assessing the impact of funding cuts to local housing services on drug and alcohol related mortality: a longitudinal study using area-level data in England. International Journal of Housing Policy, 1–19. Alexiou A. Mason K. Fahy K. Taylor-Robinson D. Barr B. ( 2021 ). Assessing the impact of funding cuts to local housing services on drug and alcohol related mortality: a longitudinal study using area-level data in England . International Journal of Housing Policy , 1 19 . Search in Google Scholar

Baumann, F. (2021). The next frontier—human development and the anthropocene: UNDP human development report 2020. Environment: Science and Policy for Sustainable Development, 63(3), 34–40. Baumann F. ( 2021 ). The next frontier—human development and the anthropocene: UNDP human development report 2020 . Environment: Science and Policy for Sustainable Development , 63 ( 3 ), 34 40 . Search in Google Scholar

Bayati, M., Noroozi, R., Ghanbari-Jahromi, M., & Jalali, F. S. (2022). Inequality in the distribution of Covid-19 vaccine: a systematic review. International journal for equity in health, 21(1), 1–9. Bayati M. Noroozi R. Ghanbari-Jahromi M. Jalali F. S. ( 2022 ). Inequality in the distribution of Covid-19 vaccine: a systematic review . International journal for equity in health , 21 ( 1 ), 1 9 . Search in Google Scholar

Belkin, M., & Niyogi, P. (2001). Laplacian eigenmaps and spectral techniques for embedding and clustering. Advances in neural information processing systems, 14. Belkin M. Niyogi P. ( 2001 ). Laplacian eigenmaps and spectral techniques for embedding and clustering . Advances in neural information processing systems , 14 . Search in Google Scholar

Bhadra, A., Datta, J., Polson, N. G., & Willard, B. (2019). Lasso meets horseshoe. Statistical Science, 34(3), 405–427. Bhadra A. Datta J. Polson N. G. Willard B. ( 2019 ). Lasso meets horseshoe . Statistical Science , 34 ( 3 ), 405 427 . Search in Google Scholar

Can-can, Y., Shuai, T., Shan, T., & Wen-tao, Z. (2022). UMAP-Assisted Fuzzy C-Clustering Method for Recognition of Terahertz Spectrum. Spectroscopy and Spectral Analysis, 42(9), 2694–2701. Can-can Y. Shuai T. Shan T. Wen-tao Z. ( 2022 ). UMAP-Assisted Fuzzy C-Clustering Method for Recognition of Terahertz Spectrum . Spectroscopy and Spectral Analysis , 42 ( 9 ), 2694 2701 . Search in Google Scholar

Cortés, P., Muñuzuri, J., Onieva, L., & Guadix, J. (2018). A discrete particle swarm optimisation algorithm to operate distributed energy generation networks efficiently. International Journal of Bio-Inspired Computation, 12(4), 226–235. Cortés P. Muñuzuri J. Onieva L. Guadix J. ( 2018 ). A discrete particle swarm optimisation algorithm to operate distributed energy generation networks efficiently . International Journal of Bio-Inspired Computation , 12 ( 4 ), 226 235 . Search in Google Scholar

Currie, J., Boyce, T., Evans, L., Luker, M., Senior, S., Hartt, M.,... Humphreys, C. (2021). Life expectancy inequalities in Wales before COVID-19: an exploration of current contributions by age and cause of death and changes between 2002 and 2018. Public Health, 193, 48–56. Currie J. Boyce T. Evans L. Luker M. Senior S. Hartt M. Humphreys C. ( 2021 ). Life expectancy inequalities in Wales before COVID-19: an exploration of current contributions by age and cause of death and changes between 2002 and 2018 . Public Health , 193 , 48 56 . Search in Google Scholar

Deutelmoser, H., Scherer, D., Brenner, H., Waldenberger, M., Study, I., Suhre, K.,... Lorenzo Bermejo, J. (2021). Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data. Briefings in Bioinformatics, 22(4), bbaa230. Deutelmoser H. Scherer D. Brenner H. Waldenberger M. Study I. Suhre K. Lorenzo Bermejo J. ( 2021 ). Robust Huber-LASSO for improved prediction of protein, metabolite and gene expression levels relying on individual genotype data . Briefings in Bioinformatics , 22 ( 4 ), bbaa230 . Search in Google Scholar

Ding, C., & He, X. F. (2004). K-means clustering via principal component analysis. Paper presented at the Proceedings of the twenty-first international conference on Machine learning. Ding C. He X. F. ( 2004 ). K-means clustering via principal component analysis . Paper presented at the Proceedings of the twenty-first international conference on Machine learning . Search in Google Scholar

Espadoto, M., Martins, R. M., Kerren, A., Hirata, N. S., & Telea, A. C. (2019). Toward a quantitative survey of dimension reduction techniques. IEEE transactions on visualization and computer graphics, 27(3), 2153–2173. Espadoto M. Martins R. M. Kerren A. Hirata N. S. Telea A. C. ( 2019 ). Toward a quantitative survey of dimension reduction techniques . IEEE transactions on visualization and computer graphics , 27 ( 3 ), 2153 2173 . Search in Google Scholar

Ezugwu, A. E., Ikotun, A. M., Oyelade, O. O., Abualigah, L., Agushaka, J. O., Eke, C. I.,... Akinyelu, A. A. (2022). A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects. Engineering Applications of Artificial Intelligence, 110, 104743. Ezugwu A. E. Ikotun A. M. Oyelade O. O. Abualigah L. Agushaka J. O. Eke C. I. Akinyelu A. A. ( 2022 ). A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects . Engineering Applications of Artificial Intelligence , 110 , 104743 . Search in Google Scholar

Fahim, A. (2023). Adaptive Density-Based Spatial Clustering of Applications with Noise (ADBSCAN) for Clusters of Different Densities. Computers, Materials & Continua, 75(2), , 3695–3712. Fahim A. ( 2023 ). Adaptive Density-Based Spatial Clustering of Applications with Noise (ADBSCAN) for Clusters of Different Densities . Computers, Materials & Continua , 75 ( 2), , 3695 3712 . Search in Google Scholar

Farhud, D. D. (2022). Hypothetical Strategies of Gene and Environmental Influence on Life Expectancy: A Brief Review. Iranian Journal of Public Health, 51(11), 2382. Farhud D. D. ( 2022 ). Hypothetical Strategies of Gene and Environmental Influence on Life Expectancy: A Brief Review . Iranian Journal of Public Health , 51 ( 11 ), 2382 . Search in Google Scholar

Flegner, P., Kačur, J., Frančáková, R., Durdán, M., & Laciak, M. (2023). Application of Cluster Analysis for Classification of Vibration Signals from Drilling Stand Aggregates. Applied Sciences, 13(10), 6337. Flegner P. Kačur J. Frančáková R. Durdán M. Laciak M. ( 2023 ). Application of Cluster Analysis for Classification of Vibration Signals from Drilling Stand Aggregates . Applied Sciences , 13 ( 10 ), 6337 . Search in Google Scholar

Golalipour, K., Akbari, E., Hamidi, S. S., Lee, M., & Enayatifar, R. (2021). From clustering to clustering ensemble selection: A review. Engineering Applications of Artificial Intelligence, 104, 104388. Golalipour K. Akbari E. Hamidi S. S. Lee M. Enayatifar R. ( 2021 ). From clustering to clustering ensemble selection: A review . Engineering Applications of Artificial Intelligence , 104 , 104388 . Search in Google Scholar

Guha, S., Rastogi, R., & Shim, K. (2000). ROCK: A robust clustering algorithm for categorical attributes. Information systems, 25(5), 345–366. Guha S. Rastogi R. Shim K. ( 2000 ). ROCK: A robust clustering algorithm for categorical attributes . Information systems , 25 ( 5 ), 345 366 . Search in Google Scholar

Gupta, S., Zhang, Y., & Su, R. (2022). Urban traffic light scheduling for pedestrian – vehicle mixed-flow networks using discrete sine – cosine algorithm and its variants. Applied Soft Computing, 120, 108656. Gupta S. Zhang Y. Su R. ( 2022 ). Urban traffic light scheduling for pedestrian – vehicle mixed-flow networks using discrete sine – cosine algorithm and its variants . Applied Soft Computing , 120 , 108656 . Search in Google Scholar

Jia, W. K., Sun, M. L., Lian, J., & Hou, S. J. (2022). Feature dimensionality reduction: a review. Complex & Intelligent Systems, 8(3), 2663–2693. Jia W. K. Sun M. L. Lian J. Hou S. J. ( 2022 ). Feature dimensionality reduction: a review . Complex & Intelligent Systems , 8 ( 3 ), 2663 2693 . Search in Google Scholar

Kruskal, J. B., & Wish, M. (1978). Multidimensional scaling: Sage. Kruskal J. B. Wish M. ( 1978 ). Multidimensional scaling : Sage . Search in Google Scholar

Lee, D. D., & Seung, H. S. (1999). Learning the parts of objects by non-negative matrix factorization. Nature, 401(6755), 788–791. Lee D. D. Seung H. S. ( 1999 ). Learning the parts of objects by non-negative matrix factorization . Nature , 401 ( 6755 ), 788 791 . Search in Google Scholar

Li, X. D., Sun, D. F., & Toh, K. C. (2020). An asymptotically superlinearly convergent semismooth Newton augmented Lagrangian method for linear programming. SIAM Journal on Optimization, 30(3), 2410–2440. Li X. D. Sun D. F. Toh K. C. ( 2020 ). An asymptotically superlinearly convergent semismooth Newton augmented Lagrangian method for linear programming . SIAM Journal on Optimization , 30 ( 3 ), 2410 2440 . Search in Google Scholar

Lichtenberg, F. R. (2022). The effect of pharmaceutical innovation on longevity: Evidence from the US and 26 high-income countries. Economics & Human Biology, 46, 101124. Lichtenberg F. R. ( 2022 ). The effect of pharmaceutical innovation on longevity: Evidence from the US and 26 high-income countries . Economics & Human Biology , 46 , 101124 . Search in Google Scholar

Liu, W. H., Zeng, S., Wu, G. J., Li, H., & Chen, F. F. (2021). Rice seed purity identification technology using hyperspectral image with LASSO logistic regression model. Sensors, 21(13), 4384. Liu W. H. Zeng S. Wu G. J. Li H. Chen F. F. ( 2021 ). Rice seed purity identification technology using hyperspectral image with LASSO logistic regression model . Sensors , 21 ( 13 ), 4384 . Search in Google Scholar

McInnes, L., Healy, J., & Melville, J. (2018). Umap: Uniform manifold approximation and projection for dimension reduction. arXiv preprint arXiv:1802.03426. McInnes L. Healy J. Melville J. ( 2018 ). Umap: Uniform manifold approximation and projection for dimension reduction . arXiv preprint arXiv:1802.03426 . Search in Google Scholar

Nasiri, E., Berahmand, K., Rostami, M., & Dabiri, M. (2021). A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding. Computers in Biology and Medicine, 137, 104772. Nasiri E. Berahmand K. Rostami M. Dabiri M. ( 2021 ). A novel link prediction algorithm for protein-protein interaction networks by attributed graph embedding . Computers in Biology and Medicine , 137 , 104772 . Search in Google Scholar

Oyewole, G. J., & Thopil, G. A. (2023). Data clustering: Application and trends. Artificial Intelligence Review, 56(7), 6439–6475. Oyewole G. J. Thopil G. A. ( 2023 ). Data clustering: Application and trends . Artificial Intelligence Review , 56 ( 7 ), 6439 6475 . Search in Google Scholar

Rani, R., Khurana, M., Kumar, A., & Kumar, N. (2022). Big data dimensionality reduction techniques in IoT: Review, applications and open research challenges. Cluster Computing, 25(6), 4027–4049. Rani R. Khurana M. Kumar A. Kumar N. ( 2022 ). Big data dimensionality reduction techniques in IoT: Review, applications and open research challenges . Cluster Computing , 25 ( 6 ), 4027 4049 . Search in Google Scholar

Roweis, S. T., & Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. science, 290(5500), 2323–2326. Roweis S. T. Saul L. K. ( 2000 ). Nonlinear dimensionality reduction by locally linear embedding . science , 290 ( 5500 ), 2323 2326 . Search in Google Scholar

Roy, S., Howlader, J., & Sanyal, G. (2022). A novel approach of data hiding in video using region selection and PCA. Multimedia Tools and Applications, 81(10), 14553–14571. Roy S. Howlader J. Sanyal G. ( 2022 ). A novel approach of data hiding in video using region selection and PCA . Multimedia Tools and Applications , 81 ( 10 ), 14553 14571 . Search in Google Scholar

Sawant, M., & Bhurchandi, K. M. (2022). Discriminative aging subspace learning for age estimation. Soft Computing, 26(18), 9189–9198. Sawant M. Bhurchandi K. M. ( 2022 ). Discriminative aging subspace learning for age estimation . Soft Computing , 26 ( 18 ), 9189 9198 . Search in Google Scholar

Sen, A. (1998). Mortality as an indicator of economic success and failure. The economic journal, 108(446), 1–25. Sen A. ( 1998 ). Mortality as an indicator of economic success and failure . The economic journal , 108 ( 446 ), 1 25 . Search in Google Scholar

Shuai, Y. (2022). A Full-Sample Clustering Model Considering Whole Process Optimization of Data. Big Data Research, 28, 100301. Shuai Y. ( 2022 ). A Full-Sample Clustering Model Considering Whole Process Optimization of Data . Big Data Research , 28 , 100301 . Search in Google Scholar

Song, X., Li, S. H., Qi, Z. Q., & Zhu, J. L. (2022). A spectral clustering algorithm based on attribute fluctuation and density peaks clustering algorithm. Applied Intelligence, 1–15. Song X. Li S. H. Qi Z. Q. Zhu J. L. ( 2022 ). A spectral clustering algorithm based on attribute fluctuation and density peaks clustering algorithm . Applied Intelligence , 1 15 . Search in Google Scholar

Stephenson, W. (1935). Technique of factor analysis. Nature, 136(3434), 297. Stephenson W. ( 1935 ). Technique of factor analysis . Nature , 136 ( 3434 ), 297 . Search in Google Scholar

Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. science, 290(5500), 2319–2323. Tenenbaum J. B. Silva V. D. Langford J. C. ( 2000 ). A global geometric framework for nonlinear dimensionality reduction . science , 290 ( 5500 ), 2319 2323 . Search in Google Scholar

Tian, P., Shen, H., & Abolfathi, A. (2022). Towards Efficient Ensemble Hierarchical Clustering with MapReduce-based Clusters Clustering Technique and the Innovative Similarity Criterion. Journal of Grid Computing, 20(4), 34. Tian P. Shen H. Abolfathi A. ( 2022 ). Towards Efficient Ensemble Hierarchical Clustering with MapReduce-based Clusters Clustering Technique and the Innovative Similarity Criterion . Journal of Grid Computing , 20 ( 4 ), 34 . Search in Google Scholar

Ullah, B., Kamran, M., & Rui, Y. (2022). Predictive modeling of short-term rockburst for the stability of subsurface structures using machine learning approaches: T-SNE, K-Means clustering and XGBoost. Mathematics, 10(3), 449. Ullah B. Kamran M. Rui Y. ( 2022 ). Predictive modeling of short-term rockburst for the stability of subsurface structures using machine learning approaches: T-SNE, K-Means clustering and XGBoost . Mathematics , 10 ( 3 ), 449 . Search in Google Scholar

Van der Maaten, L., & Hinton, G. (2008). Visualizing data using t-SNE. Journal of machine learning research, 9(11). Van der Maaten L. Hinton G. ( 2008 ). Visualizing data using t-SNE . Journal of machine learning research , 9 ( 11). Search in Google Scholar

Vaswani, A., Shazeer, N., Parmar, N., Uszkoreit, J., Jones, L., Gomez, A. N.,... Polosukhin, I. (2017). Attention is all you need. Advances in neural information processing systems, 30. Vaswani A. Shazeer N. Parmar N. Uszkoreit J. Jones L. Gomez A. N. Polosukhin I. ( 2017 ). Attention is all you need . Advances in neural information processing systems , 30 . Search in Google Scholar

Wang, S. L., Li, Q., Zhao, C. F., Zhu, X. G., Yuan, H. N, & Dai, T. R. (2021). Extreme clustering – a clustering method via density extreme points. Information Sciences, 542, 24–39. Wang S. L. Li Q. Zhao C. F. Zhu X. G. Yuan H. N Dai T. R. ( 2021 ). Extreme clustering – a clustering method via density extreme points . Information Sciences , 542 , 24 39 . Search in Google Scholar

Xia, J. Z., Zhang, Y. C., Song, J., Chen, Y., Wang, Y. H., & Liu, S. (2021). Revisiting dimensionality reduction techniques for visual cluster analysis: an empirical study. IEEE Transactions on Visualization and Computer Graphics, 28(1), 529–539. Xia J. Z. Zhang Y. C. Song J. Chen Y. Wang Y. H. Liu S. ( 2021 ). Revisiting dimensionality reduction techniques for visual cluster analysis: an empirical study . IEEE Transactions on Visualization and Computer Graphics , 28 ( 1 ), 529 539 . Search in Google Scholar

Yang, L. J., Yan, L. L., Yang, X. H., Xin, X., & Xue, L. G. (2022). Bayesian nonnegative matrix factorization in an incremental manner for data representation. Applied Intelligence, 1–18. Yang L. J. Yan L. L. Yang X. H. Xin X. Xue L. G. ( 2022 ). Bayesian nonnegative matrix factorization in an incremental manner for data representation . Applied Intelligence , 1 18 . Search in Google Scholar

Yang, Q., Yin, S. H., Li, Q. P, & Li, Y. P. (2022). Analysis of electricity consumption behaviors based on principal component analysis and density peak clustering. Concurrency and Computation: Practice and Experience, 34(21), e7126. Yang Q. Yin S. H. Li Q. P. Li Y. P. ( 2022 ). Analysis of electricity consumption behaviors based on principal component analysis and density peak clustering . Concurrency and Computation: Practice and Experience , 34 ( 21 ), e7126 . Search in Google Scholar

Yao, Y Q., Meng, H., Gao, Y., Long, Z. G., & Li, T. R. (2023). Linear dimensionality reduction method based on topological properties. Information Sciences, 624, 493–511. Yao Y. Q. Meng H. Gao Y. Long Z. G. Li T. R. ( 2023 ). Linear dimensionality reduction method based on topological properties . Information Sciences , 624 , 493 511 . Search in Google Scholar

Yunita, A., Santoso, H. B., & Hasibuan, Z. A. (2022). ‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia. Journal of Big Data, 9(1), 1–22. Yunita A. Santoso H. B. Hasibuan Z. A. ( 2022 ). ‘Everything is data’: towards one big data ecosystem using multiple sources of data on higher education in Indonesia . Journal of Big Data , 9 ( 1 ), 1 22 . Search in Google Scholar

Zhang, N., Tian, Y., Wang, X. W., Xu, Y., Zhu, Q. X., & He, Y. L. (2023). Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis. IEEE Transactions on Instrumentation and Measurement, 72, 1–9. Zhang N. Tian Y. Wang X. W. Xu Y. Zhu Q. X. He Y. L. ( 2023 ). Novel Bootstrap-Based Discriminant NPE Integrated With Orthogonal LPP for Fault Diagnosis . IEEE Transactions on Instrumentation and Measurement , 72 , 1 9 . Search in Google Scholar

Boutsidis, C., Zouzias, A., Mahoney, M. W., & Drineas, P. (2014). Randomized dimensionality reduction for k-means clustering. IEEE Transactions on Information Theory, 61(2), 1045–1062. Boutsidis C. Zouzias A. Mahoney M. W. Drineas P. ( 2014 ). Randomized dimensionality reduction for k-means clustering . IEEE Transactions on Information Theory , 61 ( 2 ), 1045 1062 . Search in Google Scholar

Maldonado, S., Carrizosa, E., & Weber, R. (2015). Kernel penalized k-means: A feature selection method based on kernel k-means. Information sciences, 322, 150–160. Maldonado S. Carrizosa E. Weber R. ( 2015 ). Kernel penalized k-means: A feature selection method based on kernel k-means . Information sciences , 322 , 150 160 . Search in Google Scholar

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