Single Pass Clustering and Classification of Large Dissimilarity Datasets.
Alexander HasenfussBarbara HammerPublished in: Artificial Intelligence and Pattern Recognition (2008)
Keyphrases
- single pass
- uci repository
- regression forests
- benchmark datasets
- unsupervised classification
- classification accuracy
- unsupervised clustering
- pattern recognition
- unsupervised learning
- k means
- support vector
- clustering algorithm
- decision trees
- synthetic datasets
- feature space
- uci machine learning repository
- supervised classification
- gene expression profiles
- clustering analysis
- high dimensionality
- document clustering
- high dimensional datasets
- dissimilarity measure
- possibilistic c means
- synthetic and real datasets
- machine learning
- text classification
- accurate classifiers
- stream mining
- training set
- feature vectors
- classification algorithm
- dissimilarity representation
- benchmark data sets
- clustering method
- support vector machine svm
- image classification
- feature set
- multi class
- data points
- learning algorithm