Micro-Clustering: Finding Small Clusters in Large Diversity.
Takeaki UnoHiroki MaegawaTakanobu NakaharaYukinobu HamuroRyo YoshinakaMakoto TatsutaPublished in: CoRR (2015)
Keyphrases
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- clustering method
- document clustering
- data points
- self organizing maps
- clustering framework
- k means
- hierarchical clustering algorithm
- data clustering
- agglomerative hierarchical clustering
- graph clustering
- fuzzy clustering
- clustering scheme
- incremental clustering
- clustering approaches
- validity measures
- categorical data
- cluster centers
- density based clustering
- unsupervised clustering
- inter cluster
- cluster structure
- disjoint clusters
- intra cluster
- model based clustering
- density based clustering algorithm
- clustering result
- constrained clustering
- clustering quality
- arbitrary shape
- cluster validation
- subspace clustering
- agglomerative clustering
- clustering procedure
- kohonen self organizing maps
- small number
- spatial clustering
- data objects
- classical clustering algorithms
- unsupervised learning
- semi supervised clustering algorithm
- homogeneous groups
- clustering solutions
- hierarchical agglomerative clustering
- fuzzy c means
- cluster membership
- bayesian information criterion
- clusters of arbitrary shapes
- cluster validity
- meaningful clusters
- normalized cut
- cluster ensemble
- cluster labels
- consensus clustering
- affinity propagation
- clustering analysis
- fuzzy k means
- affinity measure
- spectral clustering