Impact of K-Means on the Performance of Classifiers for Labeled Data.
Bankat M. PatilRamesh C. JoshiDurga ToshniwalPublished in: IC3 (1) (2010)
Keyphrases
- labeled data
- labeled training data
- training data
- unlabeled data
- k means
- labeled and unlabeled data
- class labels
- semi supervised
- semi supervised learning
- unlabeled examples
- co training
- trained classifiers
- supervised learning
- training examples
- active learning
- text classification
- semi supervised learning methods
- accurate classifiers
- supervised learning algorithms
- semi supervised classification
- data points
- transfer learning
- supervised methods
- unlabeled samples
- supervised classifiers
- labeling process
- labeled examples
- domain adaptation
- unlabeled instances
- training set
- decision trees
- training samples
- learning algorithm
- semi supervised clustering
- support vector
- naive bayes
- prior knowledge
- clustering method
- partially labeled data
- support vector machine
- data sets
- feature selection
- text categorization
- decision boundary
- clustering algorithm
- labeled data for training
- classification systems
- linear classifiers
- target domain
- test set
- dimensionality reduction
- natural language processing
- nearest neighbor
- classification accuracy
- learning environment
- similarity measure
- machine learning