HeMI ++: A Genetic Algorithm based Clustering Technique for Sensible Clusters.
Abul Hashem BegMd Zahidul IslamVladimir Estivill-CastroPublished in: CEC (2020)
Keyphrases
- clustering algorithm
- hierarchical clustering
- overlapping clusters
- cluster analysis
- k means
- clustering method
- data clustering
- fuzzy clustering
- clustering scheme
- document clustering
- cluster centers
- constrained clustering
- self organizing maps
- incremental clustering
- clustering approaches
- unsupervised clustering
- graph clustering
- clustering result
- spatial clustering
- clustering framework
- data points
- agglomerative hierarchical clustering
- intra cluster
- soft clustering
- density based clustering algorithm
- density based clustering
- inter cluster
- hierarchical clustering algorithm
- model based clustering
- clustering analysis
- clustering quality
- hierarchical agglomerative clustering
- validity measures
- cluster membership
- affinity propagation
- cluster structure
- clustering procedure
- classical clustering algorithms
- disjoint clusters
- arbitrary shape
- fuzzy c means
- agglomerative clustering
- homogeneous groups
- cluster validation
- fuzzy k means
- subspace clustering
- categorical data
- kohonen self organizing maps
- unsupervised learning
- outlier detection
- validity indices
- data objects
- similarity matrix
- similar objects
- clustering ensemble
- fuzzy clustering algorithm
- meaningful clusters
- high dimensional datasets
- affinity measure
- data sets