A novel cluster validity index for fuzzy C-means algorithm
A novel cluster validity index for fuzzy C-means algorithm
About this item
Full title
Author / Creator
Yang, Shuling , Li, Kangshun , Liang, Zhengping , Li, Wei and Xue, Yu
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
To overcome the main problem of the cluster number in many clustering applications, a new clustering approach with improved morphology similarity distance and the novel cluster validity index is proposed in this paper. An optimized morphology similarity distance based on the Standard Euclidean distance and ReliefF algorithm is used to create a new...
Alternative Titles
Full title
A novel cluster validity index for fuzzy C-means algorithm
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2917905779
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2917905779
Other Identifiers
ISSN
1432-7643
E-ISSN
1433-7479
DOI
10.1007/s00500-016-2453-y
