ModEx and Seed-Detective: Two novel techniques for high quality clustering by using good initial seeds in K-Means.
Md Anisur RahmanMd Zahidul IslamTerry BossomaierPublished in: J. King Saud Univ. Comput. Inf. Sci. (2015)
Keyphrases
- k means
- high quality
- clustering algorithm
- cluster centroids
- clustering method
- data clustering
- cluster analysis
- seed points
- cluster centers
- spectral clustering
- hierarchical clustering
- self organizing maps
- agglomerative hierarchical clustering
- clustering approaches
- text clustering
- clustering result
- constrained clustering
- rough k means
- clustering analysis
- low quality
- instance level constraints
- fuzzy c means
- fuzzy clustering algorithm
- clustering framework
- data points
- seed selection
- fuzzy k means
- nearest neighbor
- expectation maximization
- clustering quality
- document clustering
- semi supervised clustering
- unsupervised clustering
- affinity propagation
- classical clustering algorithms
- kohonen self organizing maps
- variable weighting
- unsupervised learning
- fuzzy clustering
- neural network