Interactive Clustering Tree: Une méthode de classification descendante adaptée aux grands ensembles de données.
Ricco RakotomalalaTanguy Le NouvelPublished in: DMAS (2005)
Keyphrases
- clustering algorithm
- decision trees
- high dimensionality
- unsupervised classification
- unsupervised learning
- support vector
- pattern recognition
- image classification
- supervised classification
- clustering method
- classification accuracy
- clustering analysis
- classification systems
- supervised learning
- k means
- feature extraction
- feature selection
- data points
- classification algorithm
- machine learning methods
- machine learning
- ensemble learning
- decision tree classifiers
- fuzzy decision trees
- imbalanced data
- gene expression profiles
- combining classifiers
- hierarchical clustering
- data clustering
- support vector machine svm
- text classification
- multi class
- feature vectors