K-normal: An Improved K-means for Dealing with Clusters of Different Sizes.
Yonggang LuJiangang QiaoXiaochun WangPublished in: ICIC (3) (2017)
Keyphrases
- k means
- clustering algorithm
- hierarchical clustering
- cluster analysis
- data clustering
- unsupervised clustering
- fuzzy clustering algorithm
- cluster centers
- fuzzy k means
- agglomerative hierarchical clustering
- self organizing maps
- clustering quality
- constrained clustering
- fuzzy c means
- clustering approaches
- kohonen self organizing maps
- clustering framework
- clustering result
- fuzzy clustering
- clustering method
- document clustering
- cluster validity
- hierarchical clustering algorithm
- initial cluster centers
- hierarchical agglomerative clustering
- affinity propagation
- text clustering
- spectral clustering
- model based clustering
- density based clustering
- graph clustering
- classical clustering algorithms
- overlapping clusters
- abnormal behavior
- neural network
- data points
- rand index
- image segmentation
- cluster structure
- kernel based clustering