A Criterion Based on the Mahalanobis Distance for Cluster Analysis with Subsampling.
Nicolas PicardAvner Bar-HenPublished in: J. Classif. (2012)
Keyphrases
- cluster analysis
- mahalanobis distance
- categorical data
- noise model
- hierarchical latent class models
- clustering algorithm
- covariance matrix
- k means
- cluster validity
- metric learning
- euclidean distance
- data mining techniques
- data mining
- data analysis
- clustering method
- unsupervised learning
- distance metric
- databases
- data sets
- feature vectors
- feature space
- feature selection
- learning algorithm
- real world