Improved Bidirectional CABOSFV Based on Multi-Adjustment Clustering and Simulated Annealing

Online veröffentlicht: 25. Jan. 2017

Seitenbereich: 27 - 42

DOI: https://doi.org/10.1515/cait-2016-0075

Schlüsselwörter

Data mining, high dimensional sparse data, simulated annealing, clustering validity

© 2016 Minghan Yang et al., published by De Gruyter Open

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.