Classical Multidimensional Scaling: A Subspace Perspective, Over-Denoising, and Outlier Detection.
Lingchen KongChuanqi QiHou-Duo QiPublished in: IEEE Trans. Signal Process. (2019)
Keyphrases
- outlier detection
- multidimensional scaling
- denoising
- low dimensional
- principal component analysis
- dimensionality reduction
- kernel pca
- high dimensional
- knowledge discovery
- high dimensional data
- detection algorithm
- detecting outliers
- manifold learning
- data streams
- image processing
- data mining
- density estimation
- data points
- feature space
- cluster analysis
- vector space
- latent semantic indexing
- euclidean distance
- input space
- data sets
- detect outliers
- data clustering
- query processing
- feature extraction
- real world
- databases