Penalized k-means algorithms for finding the correct number of clusters in a dataset.
Behzad Kamgar-ParsiBehrooz Kamgar-ParsiPublished in: CoRR (2019)
Keyphrases
- computational complexity
- data clustering
- k means
- cluster centers
- worst case
- clustering algorithm
- agglomerative hierarchical clustering
- synthetic datasets
- small number
- hierarchical clustering
- benchmark datasets
- cluster analysis
- maximum likelihood
- space complexity
- significant improvement
- data structure
- cluster validity
- learning algorithm
- fuzzy clustering
- computational cost