Comparison Analysis of Clustering Quality Criteria Using Inductive Methods of Objective Clustering.
Sergii BabichevAleksander SpivakovskyJirí SkvorPublished in: DSMP (2020)
Keyphrases
- clustering algorithm
- spectral clustering
- k means
- clustering method
- hierarchical clustering
- high dimensional data
- similarity function
- computational cost
- empirical studies
- categorical data
- statistical analysis
- fuzzy clustering
- model based clustering
- data mining tasks
- significant improvement
- evolutionary clustering
- preprocessing
- graph clustering
- synthetic and real datasets
- data representations
- clustering quality
- cluster analysis
- machine learning methods
- information theoretic
- partitional clustering
- unsupervised learning
- neural network
- classical clustering algorithms
- quality assessment
- density estimation
- outlier detection
- benchmark datasets
- pairwise
- data mining