Explainable k-Means and k-Medians Clustering.
Michal MoshkovitzSanjoy DasguptaCyrus RashtchianNave FrostPublished in: ICML (2020)
Keyphrases
- k means
- clustering algorithm
- clustering method
- data clustering
- hierarchical clustering
- cluster analysis
- spectral clustering
- document clustering
- rough k means
- unsupervised clustering
- clustering framework
- self organizing maps
- fuzzy c means
- clustering quality
- fuzzy k means
- cluster centers
- constrained clustering
- categorical data
- genetic k means algorithm
- clustering approaches
- text clustering
- bisecting k means
- graph theoretic
- squared euclidean distance
- clustering result
- affinity propagation
- agglomerative hierarchical clustering
- hierarchical agglomerative clustering
- image segmentation
- variable weighting
- initial cluster centers
- text mining
- partitional clustering
- expectation maximization
- arbitrary shape
- cluster ensemble
- feature selection
- fuzzy clustering