KL-Divergence-Based and Manhattan Distance-Based Semisupervised Entropy-Regularized Fuzzy c-Means.
Yuchi KanzawaYasunori EndoSadaaki MiyamotoPublished in: J. Adv. Comput. Intell. Intell. Informatics (2011)
Keyphrases
- fuzzy c means
- kl divergence
- kullback leibler divergence
- information theoretic
- euclidean distance
- mahalanobis distance
- distance measure
- semi supervised
- kullback leibler
- fuzzy clustering
- information theory
- mutual information
- clustering algorithm
- clustering method
- image segmentation
- gaussian mixture
- k means
- membership functions
- dimensionality reduction
- outlier detection
- probability density function
- distance metric
- similarity measure
- distance function
- gaussian distribution
- feature vectors
- dissimilarity measure
- posterior distribution
- data mining
- probability density
- machine learning