Semisupervised Clustering with Metric Learning Using Relative Comparisons. Nimit Kumar, Member, IEEE, and Krishna Kummamuru IEEE Transactions On Knowledge And Data Engineering Volume:20, Issue:4, Pages:496-503 指導老師：陳彥良 教授 、許秉瑜 教授 報 告 人：林欣瑾. 中華民國 97 年 8 月 14 日.
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Nimit Kumar, Member, IEEE, and Krishna Kummamuru
IEEE Transactions On Knowledge And Data Engineering
Volume:20, Issue:4, Pages:496-503
報 告 人：林欣瑾
(1)the abundance of unlabeled data
(2)the high cost of obtaining labeled data
→must-links: data points belonging to the same cluster
→cannot-link: data points belonging to the different cluster
(1) The points in cannot-link constraints may actually lie in wrong clusters and still satisfy the cannot-link constraints (2) the must-link constraint would mislead the clustering algorithm if the points in the constraint belong to two different clusters of the same class.