Detecting hyperplane clusters with adaptive possibilistic clustering.
Konstantinos KoutroumbasSpyridoula D. XenakiAthanasios A. RontogiannisPublished in: SETN (2016)
Keyphrases
- hyperplane
- possibilistic clustering
- fuzzy clustering
- data points
- input space
- fuzzy c means
- training samples
- support vector
- possibilistic c means
- feature space
- convex hull
- kernel function
- clustering algorithm
- support vector machine
- support vectors
- maximal margin
- principal components
- incremental learning algorithm
- cluster analysis
- active learning
- linearly separable
- high dimensional
- overlapping clusters
- euclidean distance
- membership functions
- data distribution
- svm classifier
- computational intelligence
- principal component analysis
- semi supervised
- feature vectors
- training set
- video sequences
- face recognition