Local Dimensionality Reduction within Natural Clusters for Medical Data Analysis.
Mykola PechenizkiyAlexey TsymbalSeppo PuuronenPublished in: CBMS (2005)
Keyphrases
- dimensionality reduction
- data analysis
- high dimensional data
- cluster analysis
- data points
- input space
- subspace clustering
- clustering algorithm
- low dimensional
- high dimensionality
- data collection
- self organizing maps
- medical diagnosis
- principal components
- data clustering
- hierarchical clustering
- machine learning
- nonlinear dimensionality reduction
- structure preserving
- pattern recognition and machine learning
- principal component analysis
- high dimensional
- multi dimensional data
- dimensionality reduction methods
- pattern recognition
- medical data
- low dimensional spaces
- feature selection
- traditional chinese medicine
- feature extraction
- medical domain
- random projections
- metric learning
- data representation
- business intelligence
- linear discriminant analysis
- medical imaging
- pattern discovery
- knowledge discovery
- manifold learning
- multidimensional scaling
- medical experts
- fuzzy clustering
- data warehouse
- rough sets
- neural network