Enhancing Clustering Quality through Landmark-Based Dimensionality Reduction.
Panagis MagdalinosChristos DoulkeridisMichalis VazirgiannisPublished in: ACM Trans. Knowl. Discov. Data (2011)
Keyphrases
- clustering quality
- dimensionality reduction
- clustering algorithm
- spectral clustering
- document clustering
- k means
- data clustering
- pattern recognition
- feature extraction
- principal component analysis
- high dimensional data
- high dimensional
- unsupervised learning
- feature space
- feature selection
- low dimensional
- euclidean distance
- text collections
- data points
- image processing
- data mining