Hierarchical K-Means Clustering Algorithm Based on Silhouette and Entropy

Wuzhou Dong -; Jiadong Ren; Dongmei Zhang

doi:10.1007/978-3-642-23881-9_45

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Hierarchical K-Means Clustering Algorithm Based on Silhouette and Entropy

Wuzhou Dong -Jiadong Ren Dongmei Zhang

Year: 2011 Lecture notes in computer science Pages: 339-347 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-23881-9_45

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Keywords:

Silhouette Cluster analysis Computer science Hierarchical clustering Single-linkage clustering CURE data clustering algorithm Entropy (arrow of time) Correlation clustering Data mining Algorithm Pattern recognition (psychology) Canopy clustering algorithm Fuzzy clustering Computational complexity theory Determining the number of clusters in a data set Outlier Artificial intelligence

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Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Advanced Computational Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Hierarchical K-Means Clustering Algorithm Based on Silhouette and Entropy

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