A Supervised Methodology to Measure the Variables Contribution to a Clustering.
Oumaima Alaoui IsmailiVincent LemaireAntoine CornuéjolsPublished in: ICONIP (1) (2014)
Keyphrases
- unsupervised learning
- clustering method
- dissimilarity measure
- clustering algorithm
- similarity measure
- unsupervised feature selection
- k means
- supervised learning
- evaluation methodology
- hierarchical clustering
- data clustering
- semi supervised
- information theory
- supervised clustering
- self organizing maps
- cluster analysis
- quality measures
- data mining tasks
- input variables
- variable selection
- document clustering
- distance measure
- proximity measures
- intra cluster
- machine learning
- affinity measure
- statistical methods
- fuzzy clustering
- neural network
- graphical models
- mutual information
- probabilistic model
- learning algorithm
- data mining