Principal component analysis approach in selecting type-1 and type-2 fuzzy membership functions for high-dimensional data.
Desh RajAditya GuptaKenil TannaBhuvnesh GargFrank Chung-Hoon RheePublished in: IFSA-SCIS (2017)
Keyphrases
- high dimensional data
- dimensionality reduction
- principal component analysis
- dimension reduction
- low dimensional
- high dimensional
- data points
- subspace clustering
- lower dimensional
- clustering high dimensional data
- high dimensionality
- multi dimensional
- manifold learning
- nearest neighbor
- feature extraction
- fuzzy reasoning
- data sets