Defining separability of two fuzzy clusters by a fuzzy decision hyperplane.
Cristian LenartPublished in: Pattern Recognit. (1993)
Keyphrases
- fuzzy decision
- hyperplane
- data points
- input space
- dimensionality reduction
- training samples
- feature space
- support vector
- clustering algorithm
- principal components
- maximal margin
- nearest neighbor
- linearly separable
- kernel function
- high dimensional data
- convex hull
- low dimensional
- high dimensional
- linear separability
- process planning
- class labels
- training set