Dimension Reduction of Health Data Clustering
Rahmat Widia SembiringJasni Mohamad ZainAbdullah EmbongPublished in: CoRR (2011)
Keyphrases
- dimension reduction
- data clustering
- cluster analysis
- unsupervised learning
- k means
- clustering algorithm
- low dimensional
- principal component analysis
- deterministic annealing
- feature extraction
- high dimensional problems
- clustering method
- feature space
- high dimensionality
- singular value decomposition
- spectral clustering
- data mining
- feature selection
- dimensionality reduction
- high dimensional data
- preprocessing
- manifold learning
- data sets
- supervised learning
- high dimensional
- semi supervised learning
- expectation maximization
- image segmentation
- similarity measure
- pattern recognition
- input image
- information extraction
- data analysis