Efficiency Improvement of Classification Model Based on Altered K-Means Using PCA and Outlier.
Se-Hoon JungJong-Chan KimPublished in: Int. J. Softw. Eng. Knowl. Eng. (2019)
Keyphrases
- k means
- feature extraction
- principal components analysis
- principle component analysis
- pattern recognition
- feature space
- support vector machine
- principal component analysis
- dimension reduction
- automatic classification
- feature vectors
- supervised learning
- classification accuracy
- unsupervised clustering
- supervised classification
- feature set
- classification scheme
- preprocessing
- model selection
- support vector machine svm
- classification models
- classification algorithm
- outlier detection
- data clustering
- text classification
- novelty detection
- fuzzy c means
- classification method
- svm classifier
- clustering method
- machine learning
- image classification
- dimensionality reduction
- training set
- support vector
- face recognition
- decision trees