A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering.
Pedro M. DomingosGeoff HultenPublished in: ICML (2001)
Keyphrases
- machine learning algorithms
- benchmark data sets
- machine learning methods
- clustering method
- learning algorithm
- pairwise
- data sets
- machine learning
- learning problems
- real world
- support vector machine
- probabilistic model
- decision trees
- unsupervised learning
- classification accuracy
- prior knowledge
- learning tasks
- k means
- correlation coefficient
- input features
- machine learning systems