Assisting Users with Clustering Tasks by Combining Metric Learning and Classification.
Sumit BasuDanyel FisherSteven Mark DruckerHao LuPublished in: AAAI (2010)
Keyphrases
- learning algorithm
- metric learning
- nearest neighbor classification
- learning tasks
- distance metric learning
- multi task
- distance metric
- supervised learning
- semi supervised clustering
- unsupervised learning
- machine learning and pattern recognition
- feature space
- margin maximization
- pairwise
- pairwise similarities
- semi supervised
- classification accuracy
- dimensionality reduction
- decision trees
- distance function
- pattern recognition
- unsupervised clustering
- image classification
- k means
- clustering algorithm
- knn classification
- semi supervised learning
- support vector machine
- support vector
- feature extraction
- kernel learning
- knn
- semi definite programming
- fully supervised
- feature selection
- background knowledge
- class labels
- clustering method
- regression problems
- data points
- recommender systems
- training set