Learning Bregman Distance Functions and its Application for Semi-Supervised Clustering
Learning distance functions with side information plays a key role in many machine learning and data mining applications. Conventional approaches often assume a Mahalanobis distance function. These approaches are limited in two aspects: (i) they are computationally expensive (even infeasible) for hi...
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| المؤلفون الرئيسيون: | , , , , |
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| التنسيق: | text |
| اللغة: | English |
| منشور في: |
Institutional Knowledge at Singapore Management University
2009
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| الموضوعات: | |
| الوصول للمادة أونلاين: | https://ink.library.smu.edu.sg/sis_research/2368 https://ink.library.smu.edu.sg/context/sis_research/article/3368/viewcontent/NIPS09_Bregman_CR_jin.pdf |
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