Performance Analysis of Various Entropy Measures in Categorical Data Clustering
Shachi Sharma, Sonam Pemo · 2020 International Conference on Computational Performance Evaluation (ComPE) · 2020
Categorical data clustering is gaining importance in recent years. Shannon entropy based similarity and dissimilarity measures are popular for clustering categorical data. However, there are several other generalized entropy measures like Renyi and Tsallis. The paper presents a thorough comparative study of performance of various entropy measures in clustering categorical data. Exhaustive experimental analysis reveals that Renyi entropy measure outperforms other measures in clustering categorical data.