k-outlier removal based on contextual label information and cluster purity for continuous data classification.
M. A. N. D. SewwandiYuefeng LiJinglan ZhangPublished in: Expert Syst. Appl. (2024)
Keyphrases
- label information
- continuous data
- semi supervised
- class labels
- dimensionality reduction
- outlier removal
- pattern recognition
- training data
- classification accuracy
- contextual information
- unlabeled data
- supervised learning
- labeled data
- data sets
- discrete data
- neural network
- transfer learning
- machine learning
- text classification
- feature selection
- feature space
- data streams
- feature vectors
- classification algorithm
- high dimensional
- cluster analysis
- geometric structure
- real world
- continuous attributes
- training set