Clustering a large number of compounds. 3. The limits of classification.
Louis HodesAlfred FeldmanPublished in: J. Chem. Inf. Comput. Sci. (1991)
Keyphrases
- clustering algorithm
- small number
- classification accuracy
- text classification
- pattern recognition
- pattern classification
- feature space
- clustering method
- classification method
- unsupervised learning
- data sets
- supervised learning
- support vector
- automatic classification
- decision trees
- classification scheme
- supervised classification
- image classification
- decision rules
- high dimensionality
- class labels
- high dimensional data
- support vector machine svm
- k means
- computational complexity
- feature extraction
- feature selection
- neural network