GA based Dimension Reduction for enhancing performance of k-Means and Fuzzy k-Means: A Case Study for Categorization of Medical Dataset.
Asha Gowda KaregowdaM. A. JayaramA. S. ManjunathT. Vidya ShamaPublished in: BIC-TA (1) (2012)
Keyphrases
- dimension reduction
- fuzzy k means
- k means
- cluster analysis
- valued data
- feature selection
- principal component analysis
- low dimensional
- high dimensional
- data clustering
- clustering algorithm
- feature extraction
- high dimensional problems
- linear discriminant analysis
- singular value decomposition
- unsupervised learning
- manifold learning
- high dimensionality
- high dimensional data
- feature space
- clustering method
- dimensionality reduction
- self organizing maps
- medical imaging
- covariance matrix
- data sets
- model selection
- semi supervised
- support vector
- face recognition
- image segmentation
- computer vision