A study on using data clustering for feature extraction to improve the quality of classification.
Maciej PiernikTadeusz MorzyPublished in: Knowl. Inf. Syst. (2021)
Keyphrases
- data clustering
- feature extraction
- unsupervised learning
- feature vectors
- unsupervised classification
- pattern recognition
- preprocessing
- feature selection
- cluster analysis
- support vector machine svm
- spectral clustering
- clustering analysis
- k means
- clustering algorithm
- image processing
- exploratory data analysis
- decision trees
- principal component analysis
- unsupervised feature selection
- knn
- text classification
- support vector machine
- data mining
- classification accuracy
- face recognition
- machine learning