An Empirical Study on Initializing Centroid in K-Means Clustering for Feature Selection.
Amit SaxenaJohn WangWutiphol SintunavaratPublished in: Int. J. Softw. Sci. Comput. Intell. (2021)
Keyphrases
- feature selection
- k means
- feature set
- feature selection algorithms
- text categorization
- feature subset
- high dimensionality
- mutual information
- information gain
- text classification
- support vector machine
- data mining
- model selection
- multi class
- support vector
- classification accuracy
- forward selection
- unsupervised feature selection
- selected features
- microarray classification
- method for feature selection
- informative features
- small sample
- discriminative features
- dimensionality reduction
- data sets
- classification models
- feature space
- machine learning
- feature weighting
- feature ranking
- search engine
- bayes classifier
- irrelevant features
- data clustering
- redundant features
- unsupervised learning
- high dimensional
- knn
- partitioned data