PCA-guided k-Means clustering with incomplete data.
Katsuhiro HondaRyoichi NonoguchiAkira NotsuHidetomo IchihashiPublished in: FUZZ-IEEE (2011)
Keyphrases
- incomplete data
- principal component analysis
- k means
- variable weighting
- learning bayesian networks
- missing data
- missing values
- bayesian networks
- principal components analysis
- em algorithm
- principal components
- covariance matrix
- principle component analysis
- incomplete data sets
- bayes classifier
- independent component analysis
- feature extraction
- dimensionality reduction
- face images
- high dimensional
- face recognition
- clustering algorithm
- spectral clustering
- variational bayesian
- databases
- multiple imputation
- model selection
- low dimensional
- feature space
- statistical data
- training data