Information-Theoretic Distance Measures for Clustering Validation: Generalization and Normalization.
Ping LuoHui XiongGuoxing ZhanJunjie WuZhongzhi ShiPublished in: IEEE Trans. Knowl. Data Eng. (2009)
Keyphrases
- information theoretic
- distance measure
- kullback leibler divergence
- mutual information
- information theory
- information bottleneck
- kullback leibler
- kl divergence
- euclidean distance
- theoretic framework
- similarity measure
- bhattacharyya distance
- distance function
- distance metric
- information theoretic measures
- log likelihood
- jensen shannon divergence
- dissimilarity measure
- nearest neighbor classification
- distributional clustering
- dynamic time warping
- proximity measures
- clustering algorithm
- k means
- high dimensional data
- pattern recognition
- machine learning
- data mining