A Case of Study with the Clustering R Library to Measure the Quality of Cluster Algorithms.
Luis Alfonso Pérez MartosÁngel Miguel García-VicoPedro GonzálezCristóbal José CarmonaPublished in: HAIS (2022)
Keyphrases
- data clustering
- clustering quality
- quality measures
- clustering algorithm
- agglomerative hierarchical clustering
- clustering approaches
- hierarchical clustering
- learning algorithm
- k means
- computational complexity
- unsupervised learning
- synthetic and real datasets
- data structure
- spectral clustering
- high dimensional
- data mining tasks
- high quality
- cluster analysis
- image segmentation
- model based clustering
- intra cluster
- inter cluster
- data mining
- hierarchical clustering algorithms
- fuzzy clustering algorithms
- bisecting k means