Clustering: an R library to facilitate the analysis and comparison of cluster algorithms.
Luis Alfonso Pérez MartosÁngel Miguel García-VicoPedro GonzálezCristóbal J. CarmonaPublished in: Prog. Artif. Intell. (2023)
Keyphrases
- data clustering
- clustering algorithm
- hierarchical clustering
- statistical analysis
- computational complexity
- computational cost
- clustering approaches
- data points
- agglomerative hierarchical clustering
- unsupervised clustering
- synthetic and real datasets
- clustering method
- theoretical analysis
- overlapping clusters
- clustering procedure
- k means
- validity measures
- self organizing maps
- clustering quality
- cluster analysis
- unsupervised learning
- optimization problems
- feature space
- synthetic datasets
- learning algorithm
- worst case
- disjoint clusters