Bottom-Up Variable Selection in Cluster Analysis Using Bootstrapping: A Proposal.
Hans-Joachim MuchaHans-Georg BartelPublished in: ECDA (2014)
Keyphrases
- variable selection
- cluster analysis
- dimension reduction
- input variables
- categorical data
- linear models
- cross validation
- model selection
- hierarchical latent class models
- clustering method
- data mining
- unsupervised learning
- clustering algorithm
- high dimensional
- k means
- data analysis
- data mining techniques
- cluster validity
- high dimensional data
- microarray data
- feature selection
- fuzzy c means
- database
- information extraction
- data sets
- latent class models