CODEC - Detecting Linear Correlations in Dense Clusters using coMAD-based PCA.
Maximilian Archimedes Xaver HünemörderAnna BeerDaniyal KazempourThomas SeidlPublished in: LWDA (2019)
Keyphrases
- principal component analysis
- clustering algorithm
- arbitrary shape
- highly correlated
- principal components analysis
- feature extraction
- fuzzy clustering
- dense regions
- dimensionality reduction
- linear subspace
- dimension reduction
- independent component analysis
- face images
- motion estimation
- data points
- feature space
- face recognition
- cluster structure
- independent components analysis
- principle component analysis
- linear discriminant analysis
- low dimensional
- high dimensional