VarSelLCM: an R/C++ package for variable selection in model-based clustering of mixed-data with missing values.
Matthieu MarbacMohammed SedkiPublished in: Bioinform. (2019)
Keyphrases
- variable selection
- missing values
- mixed data
- model based clustering
- high dimensional data
- clustering algorithm
- k means
- data sets
- missing data
- hierarchical clustering
- cross validation
- mixture model
- data compression
- high dimensional
- model selection
- em algorithm
- knn
- expectation maximization
- dimension reduction
- document clustering
- dimensionality reduction
- nearest neighbor
- high dimensionality
- k nearest neighbor
- selection criterion
- neural network
- machine learning
- learning algorithm
- image processing
- bayesian networks
- cluster analysis
- pattern recognition
- input data
- unsupervised learning
- maximum likelihood