A mutual information based approach for evaluating the quality of clustering.
Shaikh Anowarul FattahChia-Chun LinSun-Yuan KungPublished in: ICASSP (2011)
Keyphrases
- mutual information
- information theoretic
- similarity measure
- clustering algorithm
- clustering method
- image registration
- feature selection
- high quality
- kullback leibler divergence
- k means
- criterion function
- pattern recognition
- multi modal image registration
- fuzzy clustering
- medical image registration
- image processing
- graph theoretic
- higher quality
- quality measures
- information gain
- data clustering
- document clustering
- data points
- data objects
- text mining
- normalized mutual information
- website
- conditional mutual information