Dimensionality reduction assisted tensor clustering.
Yanfeng SunJunbin GaoXia HongYi GuoChris J. HarrisPublished in: IJCNN (2014)
Keyphrases
- dimensionality reduction
- high dimensional data
- high dimensionality
- data points
- unsupervised learning
- pattern recognition and machine learning
- clustering algorithm
- high dimensional
- principal component analysis
- manifold learning
- clustering method
- pattern recognition
- dimensionality reduction methods
- feature extraction
- random projections
- multidimensional scaling
- low dimensional
- data representation
- feature space
- principal components analysis
- unsupervised feature selection
- linear discriminant analysis
- data clustering
- k means
- information theoretic
- hierarchical clustering
- singular value decomposition
- subspace learning
- lower dimensional
- spectral clustering
- higher order
- categorical data
- high order
- distance metric
- euclidean distance
- self organizing maps
- locally linear embedding
- principal components
- structure preserving
- document clustering
- dealing with high dimensional data