Unsupervised Subspace Extraction via Deep Kernelized Clustering.
Gyoung S. NaHyunju ChangPublished in: ACM Trans. Knowl. Discov. Data (2022)
Keyphrases
- unsupervised learning
- high dimensional data
- subspace clustering
- clustering algorithm
- unsupervised classification
- k means
- unsupervised manner
- clustering method
- unsupervised feature selection
- fuzzy clustering
- dimensionality reduction
- clustering high dimensional data
- supervised classification
- unsupervised clustering
- high dimensional
- agglomerative clustering
- hierarchical clustering
- deep architectures
- minimum message length
- self organizing maps
- information extraction
- semi supervised
- supervised learning
- completely unsupervised
- cluster validation
- information bottleneck
- deep learning
- low dimensional
- lower dimensional
- outlier detection
- data points
- principal components analysis
- data sets
- web people search
- cluster analysis
- spectral clustering
- categorical data
- feature subspace
- locality preserving
- feature extraction
- data clustering
- probabilistic model
- subspace projections
- principal component analysis
- subspace learning