Classification by clustering decision tree-like classifier based on adjusted clusters.
Aviad BarakRoy GelbardPublished in: Expert Syst. Appl. (2011)
Keyphrases
- decision trees
- clustering algorithm
- unsupervised clustering
- hierarchical clustering
- clustering method
- data clustering
- cluster analysis
- machine learning algorithms
- supervised classification
- machine learning
- fuzzy clustering
- classification models
- predictive accuracy
- clustering analysis
- k means
- classification algorithm
- graph clustering
- naive bayes
- clustering scheme
- unsupervised learning
- data points
- self organizing maps
- hierarchical clustering algorithm
- arbitrary shape
- clustering quality
- incremental clustering
- logistic regression
- document clustering
- high dimensionality
- classification rules
- agglomerative hierarchical clustering
- clustering approaches
- feature vectors
- feature construction
- decision tree algorithm
- overlapping clusters
- intra cluster
- clustering result
- decision tree learning
- feature space
- support vector
- density based clustering algorithm
- multivariate decision trees
- decision tree algorithms
- hierarchical agglomerative clustering
- determined automatically
- model based clustering
- decision tree learning algorithm
- disjoint clusters
- subspace clustering
- clustering framework
- cluster centers
- data objects
- classification accuracy
- training data
- feature selection
- constrained clustering
- attribute selection
- text classification
- training set
- cluster membership
- feature extraction
- validity measures
- learning algorithm