Using a clustering similarity measure for feature selection in high dimensional data sets.
Jorge M. SantosSandra RamosPublished in: ISDA (2010)
Keyphrases
- high dimensional data sets
- feature selection
- similarity measure
- multi dimensional
- high dimensional data
- high dimensional
- nearest neighbor search
- clustering method
- data points
- high dimensionality
- dimensionality reduction
- dimensional data
- clustering algorithm
- data sets
- similarity search
- small sample size
- hyperplane
- feature space
- pairwise
- machine learning
- nearest neighbor
- support vector
- feature set
- microarray data
- k means
- model selection
- supervised learning
- knn
- pattern recognition
- data mining
- neural network