Penalty for High-Dimensional Data Clustering.
Xiangyu ChangYu WangRongjian LiZongben XuPublished in: CoRR (2014)
Keyphrases
- data clustering
- high dimensional
- k means
- unsupervised learning
- clustering algorithm
- high dimensionality
- cluster analysis
- similarity search
- low dimensional
- unsupervised feature selection
- spectral clustering
- dimensionality reduction
- exploratory data analysis
- multi dimensional
- competitive learning
- objective function
- nearest neighbor
- manifold learning
- high dimensional data
- dimension reduction
- microarray data
- deterministic annealing
- data points
- feature space
- information retrieval
- pairwise
- pattern recognition
- training data
- machine learning
- data mining
- data sets