Clustering Stable Instances of Euclidean k-means.
Abhratanu DuttaAravindan VijayaraghavanAlex WangPublished in: CoRR (2017)
Keyphrases
- k means
- clustering algorithm
- clustering method
- data clustering
- hierarchical clustering
- cluster analysis
- self organizing maps
- unsupervised clustering
- spectral clustering
- clustering approaches
- document clustering
- rough k means
- fuzzy k means
- fuzzy clustering algorithm
- cluster centers
- text clustering
- clustering quality
- randomly generated
- clustering analysis
- constrained clustering
- clustering result
- agglomerative hierarchical clustering
- expectation maximization
- categorical data
- semi supervised clustering
- clustering framework
- neural network
- variable weighting
- instance level constraints
- initial cluster centers
- data points
- affinity propagation
- hierarchical clustering algorithm
- euclidean distance
- fuzzy clustering
- euclidean space
- data sets