Clustering and Classification with Non-Existence Attributes: A Sentenced Discrepancy Measure Based Technique.
Y. A. JoarderEmran HossainAl Faisal MahmudPublished in: CoRR (2020)
Keyphrases
- unsupervised learning
- pattern recognition
- image classification
- decision trees
- unsupervised clustering
- unsupervised classification
- classification scheme
- classification models
- data objects
- data clustering
- clustering analysis
- classification accuracy
- support vector
- feature extraction
- clustering algorithm
- supervised classification
- cluster analysis
- text classification
- model selection
- attribute selection
- training set
- data sets
- high dimensionality
- additional features
- automatic classification
- decision table
- class labels
- pattern classification
- spectral clustering
- decision rules
- attribute values
- benchmark datasets
- machine learning algorithms
- training samples
- supervised learning
- support vector machine
- feature vectors
- machine learning