Robust PCA with Intra-Sample Outlier Process Based on Fuzzy Mahalanobis Distances and Noise Clustering.
Hidetomo IchihashiKatsuhiro HondaNoboru WakamiPublished in: FUZZ-IEEE (2005)
Keyphrases
- k means
- fuzzy clustering
- outlier detection
- image noise
- principal component analysis
- fuzzy logic
- distance function
- principal components analysis
- distance measure
- unsupervised learning
- distance metric
- clustering algorithm
- arbitrary shape
- signal to noise ratio
- noisy data
- data points
- document clustering
- spectral clustering
- fuzzy rules
- euclidean distance
- dimensionality reduction
- data streams
- noisy environments
- data mining
- salt pepper