image thumbnail

CVAP: Cluster Validity Analysis Platform (cluster analysis and validation tool)

version 1.3.0.0 (80.5 KB) by Kaijun Wang
supplying over 17 validity indices and 5 clustering algorithms based on GUI

12.3K Downloads

Updated 25 Jul 2009

View License

Cluster validation is an important and necessary step in cluster analysis. This visual cluster validation tool CVAP based on GUI provides important tools and convenient analysis environment for validity evaluation of clustering solutions, estimation of the number of clusters and performance comparison between candidate clustering algorithms.

CVAP includes 4 External validity indices, 14 Internal validity indices and 5 clustering algorithms (K-means, PAM, hierarchical clustering and etc.). It supports other clustering algorithms via loading a solution file with class labels, or by adding new codes. And similarity metrics of Euclidean distance and Pearson correlation coefficient are supported.

Some useful information and references are in help files "Readme.txt", please read them first.

Cite As

Kaijun Wang (2021). CVAP: Cluster Validity Analysis Platform (cluster analysis and validation tool) (https://www.mathworks.com/matlabcentral/fileexchange/14620-cvap-cluster-validity-analysis-platform-cluster-analysis-and-validation-tool), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2006a
Compatible with any release
Platform Compatibility
Windows macOS Linux

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!