Hierarchically Clustered PCA and CCA via a Convex Clustering Penalty.
Amanda M. BuchConor ListonLogan GrosenickPublished in: CoRR (2022)
Keyphrases
- k means
- canonical correlation analysis
- principal components analysis
- principal component analysis
- clustering algorithm
- clustering method
- objective function
- hierarchical clustering
- cluster analysis
- convex hull
- principal components
- self organizing maps
- convex optimization
- piecewise linear
- convex sets
- partial least squares
- covariance matrix
- document clustering
- face recognition
- neural network
- svm classifier
- categorical data
- anomaly detection
- unsupervised learning
- high dimensional
- feature extraction
- appearance based object recognition