Input space versus feature space in kernel-based interval fuzzy C-Means clustering.
Bruno A. PimentelAnderson F. B. F. da CostaRenata M. C. R. de SouzaPublished in: IJCNN (2015)
Keyphrases
- input space
- fuzzy c means clustering
- feature space
- kernel pca
- kernel trick
- kernel methods
- kernel function
- fuzzy c means
- support vector machine
- dimensionality reduction
- high dimensional
- input data
- high dimensional feature space
- hyperplane
- feature extraction
- high dimensional data
- classification accuracy
- low dimensional
- clustering method
- mean shift
- kernel matrix
- linearly separable
- support vector
- data points
- class labels
- feature selection
- feature set
- training samples
- image segmentation algorithm
- output space
- data sets
- k nearest neighbor
- feature vectors
- training set
- computer vision
- learning algorithm
- knn
- multiple kernel learning
- pairwise
- data analysis
- machine learning