Penalized K-Means Algorithms for Finding the Number of Clusters.
Behzad Kamgar-ParsiBehrooz Kamgar-ParsiPublished in: ICPR (2020)
Keyphrases
- k means
- data clustering
- agglomerative hierarchical clustering
- cluster centers
- clustering algorithm
- hierarchical clustering
- theoretical analysis
- computational complexity
- small number
- learning algorithm
- space complexity
- fuzzy clustering
- memory requirements
- cluster validity
- unsupervised clustering
- computationally efficient
- computational cost
- fuzzy c means
- cluster analysis
- self organizing maps
- least squares
- clustering framework
- fuzzy clustering algorithm
- optimization problems