Clustering and Weighted Scoring Algorithm Based on Estimating the Number of Clusters.
Jakub KlikowskiRobert BurdukPublished in: ICCS (3) (2021)
Keyphrases
- k means
- cluster centers
- clustering algorithm
- hierarchical clustering
- clustering method
- computational complexity
- data clustering
- np hard
- density based clustering
- memory requirements
- fuzzy clustering
- clustering approaches
- initial set
- fuzzy k means
- hierarchical clustering algorithm
- unsupervised clustering
- optimal solution
- fuzzy c means
- fuzzy clustering algorithm
- objective function
- input data
- homogeneous groups
- affinity measure
- arbitrary shaped
- learning algorithm
- cluster validity
- synthetic datasets
- detection algorithm
- expectation maximization
- data points
- probabilistic model
- cluster ensemble
- clustering analysis
- graph partitioning
- agglomerative clustering
- intra cluster
- space complexity
- dissimilarity matrix
- validity measures