Reduced Support Vector Machine Based on k-Mode Clustering for Classification Large Categorical Dataset.
Santi Wulan PurnamiJasni Mohamad ZainAbdullah EmbongPublished in: ICSECS (2) (2011)
Keyphrases
- clustering algorithm
- categorical data
- pattern recognition
- unsupervised learning
- uci datasets
- classification accuracy
- benchmark datasets
- unsupervised classification
- supervised classification
- decision trees
- feature set
- image classification
- unsupervised clustering
- automatic classification
- feature vectors
- classification scheme
- data clustering
- high dimensionality
- feature selection
- class labels
- preprocessing
- clustering method
- training set
- space reduction
- text classification
- classification algorithm
- classification rules
- synthetic datasets
- spectral clustering
- feature space
- k means
- density estimation
- feature extraction
- training data
- support vector
- training dataset
- classification models
- hierarchical clustering
- support vector machine
- supervised learning
- cluster analysis
- classification method
- self organizing maps
- model selection