Feature Selection for Cluster Analysis: an Approach Based on the Simplified Silhouette Criterion.

Eduardo R. Hruschka Thiago F. Covoes

Published 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