GPU Accelerated Self-Organizing Map for High Dimensional Data.
Yi XiaoRuibin FengZi-Fa HanChi-Sing LeungPublished in: Neural Process. Lett. (2015)
Keyphrases
- high dimensional data
- self organizing maps
- gpu accelerated
- input data
- dimensionality reduction
- high dimensional
- high dimensionality
- unsupervised learning
- finite element
- nearest neighbor
- real time
- subspace clustering
- low dimensional
- data sets
- neural network
- data points
- data analysis
- similarity search
- dimension reduction
- manifold learning
- sequence alignment
- k means
- linear discriminant analysis
- feature selection
- growing self organizing map
- clustering high dimensional data
- feature space
- multi dimensional
- gene expression data
- similarity measure
- computer vision
- machine learning
- object recognition
- medical images