Privileged information for data clustering
Many machine learning algorithms assume that all input samples are independently and identically distributed from some common distribution on either the input space X, in the case of unsupervised learning, or the input and output space X Y in the case of supervised and semi-supervised learning. I...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2012
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| Online Access: | http://eprints.nottingham.ac.uk/2026/ http://eprints.nottingham.ac.uk/2026/ http://eprints.nottingham.ac.uk/2026/ http://eprints.nottingham.ac.uk/2026/1/Privileged_Information_for_Data_Clustering.Information_Sciences.2012.pdf |