DISCERN: diversity-based selection of centroids for k-estimation and rapid non-stochastic clustering.
Ali HassaniAmir IranmaneshMahdi EftekhariAbbas SalemiPublished in: Int. J. Mach. Learn. Cybern. (2021)
Keyphrases
- k means
- clustering algorithm
- clustering method
- data points
- hierarchical clustering
- similarity assessment
- parameter estimation
- data clustering
- unsupervised learning
- selection strategy
- similarity function
- graph theoretic
- cluster analysis
- information theoretic
- selection criterion
- self organizing maps
- anomaly detection
- cluster centers
- learning automata
- random selection
- cluster centroids
- spectral clustering
- document clustering
- connected components
- monte carlo
- microarray
- mutual information
- data streams
- image segmentation