-means, PCA and projective clustering.
Dan FeldmanMelanie SchmidtChristian SohlerPublished in: SODA (2013)
Keyphrases
- k means
- principal components analysis
- principal component analysis
- clustering algorithm
- data clustering
- face recognition
- unsupervised learning
- neural network
- spectral clustering
- clustering method
- anomaly detection
- dimensionality reduction
- high dimensional
- feature extraction
- information theoretic
- cluster analysis
- linear discriminant analysis
- independent component analysis
- feature selection
- categorical data
- fuzzy clustering
- data sets
- clustering analysis
- nonnegative matrix factorization
- appearance based object recognition
- principal components
- document clustering
- outlier detection
- knn
- feature space