Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
Foundations of Computing and Decision Sciences
Volume 39 (2014): Issue 2 (June 2014)
Open Access
Comparison of Algorithms for Clustering Incomplete Data
Artur Matyja
Artur Matyja
Search for this author on
Sciendo
|
Google Scholar
Matyja, Artur
and
Krzysztof Siminski
Krzysztof Siminski
Search for this author on
Sciendo
|
Google Scholar
Siminski, Krzysztof
May 30, 2014
Foundations of Computing and Decision Sciences
Volume 39 (2014): Issue 2 (June 2014)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
May 30, 2014
Page range:
107 - 127
Received:
May 01, 2013
DOI:
https://doi.org/10.2478/fcds-2014-0007
Keywords
clustering
,
incomplete data
,
missing value
,
marginalisation
,
imputation
,
IFCM
,
OCS
,
NPS
,
NCS
© A. Matyja, K. Siminski
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
