Applying the fuzzy c-means based dimension reduction to improve the sleep classification system.
Chih-Sheng HuangChun-Ling LinWen-Yu YangLi-Wei KoSheng-Yi LiuChin-Teng LinPublished in: FUZZ-IEEE (2013)
Keyphrases
- dimension reduction
- fuzzy c means
- cluster analysis
- feature extraction
- fuzzy clustering
- principal component analysis
- clustering algorithm
- feature selection
- high dimensionality
- high dimensional
- low dimensional
- feature space
- unsupervised learning
- fuzzy clustering algorithm
- singular value decomposition
- linear discriminant analysis
- high dimensional data
- k means
- random projections
- fcm algorithm
- clustering method
- pattern recognition
- image segmentation
- fuzzy clustering algorithms
- mercer kernel
- computational intelligence
- hard c means
- euclidean distance
- feature set