Kernel Penalized K-means: A feature selection method based on Kernel K-means.
Sebastián MaldonadoEmilio CarrizosaRichard WeberPublished in: Inf. Sci. (2015)
Keyphrases
- k means
- clustering algorithm
- kernel methods
- kernel function
- squared euclidean distance
- kernel based clustering
- data clustering
- clustering method
- kernel regression
- self organizing maps
- component analysis
- cluster analysis
- text clustering
- spectral clustering
- information retrieval
- neural network
- convolution kernel
- support vector
- clustering quality
- feature space
- training set
- reproducing kernel hilbert space
- least squares
- machine learning
- hidden markov random fields
- initial cluster centers
- data sets
- variable weighting
- data mining
- mutual subspace method
- model selection