Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion.
Eduardo R. HruschkaThiago F. CovoesPublished in: CIMCA/IAWTIC (2005)
Keyphrases
- cluster analysis
- feature selection
- unsupervised learning
- microarray data
- categorical data
- clustering method
- data mining
- text classification
- data clustering
- clustering algorithm
- factor analysis
- feature extraction
- hierarchical latent class models
- k means
- correlation analysis
- feature space
- clustering analysis
- fuzzy clustering
- data analysis
- data mining techniques
- machine learning
- feature set
- multidimensional scaling
- cluster validity
- model selection
- computer vision
- learning algorithm
- latent class models
- face recognition
- latent variables
- databases
- semi supervised
- pattern recognition