A graphical user interface for clustering and clustering validation. methods Supports Kmeans, Hierarchical, Spectral Clustering and various internal and external indices. The internal indices include: Silhouette index, Davies-Bouldin index, Dunn's index, Xie-Beni index, Calinski-Harabasz index, I index, SD validity index, S_Dbw validity index, and Clustering Validation index based on Nearest Neighbors (CVNN);
Implemented by Thy Nguyen (Nguyen318@live.missouristate.edu) under the supervision of Dr. Tayo Obafemi-Ajayi (tayoobafemiajayi@missouristate.edu).
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clslabMSU/clustGUI
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