Elements of information theory
Elements of information theory
Information Theoretic Clustering
IEEE Transactions on Pattern Analysis and Machine Intelligence
Mathematics of Information and Coding
Mathematics of Information and Coding
Improving Performance of Similarity-Based Clustering by Feature Weight Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
Performance Evaluation of Some Clustering Algorithms and Validity Indices
IEEE Transactions on Pattern Analysis and Machine Intelligence
A New Cluster Isolation Criterion Based on Dissimilarity Increments
IEEE Transactions on Pattern Analysis and Machine Intelligence
Pattern Classification (2nd Edition)
Pattern Classification (2nd Edition)
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Similarity-Based Robust Clustering Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Shape Analysis: Clustering, Learning, and Testing
IEEE Transactions on Pattern Analysis and Machine Intelligence
Some inequalities for information divergence and related measures of discrimination
IEEE Transactions on Information Theory
A new metric for probability distributions
IEEE Transactions on Information Theory
A similarity metric for edge images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Survey of clustering algorithms
IEEE Transactions on Neural Networks
Identifying the underlying hierarchical structure of clusters in cluster analysis
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
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We introduce novel dissimilarity to properly measure dissimilarity among multiple clusters when each cluster is characterized by a probability distribution. This measure of dissimilarity is called redundancy-based dissimilarity among probability distributions. From aspects of source coding, a statistical hypothesis test and a connection with Ward's method, we shed light on the theoretical reasons that the redundancy-based dissimilarity among probability distributions is a reasonable measure of dissimilarity among clusters.