-Means Clustering: An Experimental Study with Different Cluster Spreads.
Mark Ming-Tso ChiangBoris G. MirkinPublished in: J. Classif. (2010)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- overlapping clusters
- k means
- intra cluster
- clustering framework
- unsupervised clustering
- clustering quality
- clustering method
- clustering procedure
- inter cluster
- data points
- clustering approaches
- supervised clustering
- disjoint clusters
- data objects
- constrained clustering
- clustering scheme
- cluster membership
- rough k means
- clustering analysis
- agglomerative hierarchical clustering
- similar objects
- overlapping clustering
- validity measures
- homogeneous groups
- evolutionary clustering
- davies bouldin
- cluster centers
- subspace clustering
- model based clustering
- fuzzy clustering
- clustering result
- meaningful clusters
- categorical data
- validity indices
- web sessions
- document clustering
- density based clustering algorithm
- data sets
- neural network
- semi supervised
- instance level constraints
- unsupervised learning
- web snippets
- spectral clustering
- partitional clustering
- cluster validity
- cluster validation
- arbitrary shape
- density based clustering