LVQ clustering and SOM using a kernel function.
Ryo InokuchiSadaaki MiyamotoPublished in: FUZZ-IEEE (2004)
Keyphrases
- kernel function
- self organizing maps
- input space
- k means
- learning vector quantization
- kernel based clustering
- unsupervised learning
- support vector
- kernel methods
- feature space
- clustering algorithm
- support vector machine
- cluster analysis
- kernel matrix
- high dimensional
- kohonen self organizing map
- clustering method
- support vector regression
- high dimensional feature space
- kernel learning
- gaussian kernels
- dot product
- neural network
- positive definite
- data points
- data clustering
- reproducing kernel hilbert space
- high dimensional data
- multiple kernel learning
- support vectors
- kernel machines
- generalization ability
- distance metric
- kernel trick
- kernel parameters
- reduced set
- positive semidefinite
- input data
- feature set
- feature vectors