A Validity Measure for Fuzzy Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and effective text mining using linear-time document clustering
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
On Clustering Validation Techniques
Journal of Intelligent Information Systems
Clustering Validity Assessment: Finding the Optimal Partitioning of a Data Set
ICDM '01 Proceedings of the 2001 IEEE International Conference on Data Mining
A cluster validation index for GK cluster analysis based on relative degree of sharing
Information Sciences—Informatics and Computer Science: An International Journal
Cluster validation: An integrative method for cluster analysis
BIBMW '09 Proceedings of the 2009 IEEE International Conference on Bioinformatics and Biomedicine Workshop
Some new indexes of cluster validity
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
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With the widely used of data mining and cluster analysis, cluster validation is attracting increasing attention. In this paper, the concept and development of cluster validation are introduced, then, based on the membership degree, a classification of cluster validity indexes is proposed: cluster validity indexes fit for crisp cluster, cluster validity indexes fit for fuzzy cluster. Based on this, combining with Cluster Validity Analysis Platform (CVAP), describing the two most important usages of cluster validation: to find the optimal number of clusters and to find appropriate clustering algorithms to a particular data set. Experiments give visualization representation of clustering validation process.