MORe++: k-Means Based Outlier Removal on High-Dimensional Data.
Anna BeerJennifer LauterbachThomas SeidlPublished in: SISAP (2019)
Keyphrases
- high dimensional data
- outlier removal
- k means
- variable weighting
- nearest neighbor
- low dimensional
- dimensionality reduction
- high dimensional
- high dimensionality
- data sets
- similarity search
- subspace clustering
- data analysis
- clustering algorithm
- surface reconstruction
- data clustering
- data points
- clustering method
- spectral clustering
- input space
- manifold learning
- expectation maximization
- dimensional data
- high dimensional spaces
- input data
- cluster centers
- high dimensional data sets
- document clustering
- text clustering
- high dimensional datasets
- convex concave
- feature extraction
- pattern recognition