High-Dimensional Wide Gap k-Means Versus Clustering Axioms.
Mieczyslaw A. KlopotekPublished in: CoRR (2022)
Keyphrases
- k means
- high dimensional
- clustering algorithm
- clustering method
- cluster analysis
- hierarchical clustering
- data clustering
- self organizing maps
- spectral clustering
- expectation maximization
- unsupervised clustering
- data points
- cluster centers
- squared euclidean distance
- fuzzy c means
- fuzzy k means
- text clustering
- instance level constraints
- dimensionality reduction
- high dimensionality
- high dimensional data space
- knowledge base
- clustering approaches
- similarity search
- high dimensional data
- rough k means
- agglomerative hierarchical clustering
- clustering analysis
- low dimensional
- document clustering
- unsupervised learning
- semi supervised clustering
- feature space
- constrained clustering
- clustering result
- clustering ensemble
- fuzzy clustering algorithm
- microarray data
- initial cluster centers
- nearest neighbor
- variable weighting
- microarray
- multi dimensional
- kohonen self organizing maps