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arXiv · 1109.1844

Weighted Clustering

Margareta Ackerman·Shai Ben-David·Simina Brânzei·David Loker
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Abstract

One of the most prominent challenges in clustering is "the user's dilemma," which is the problem of selecting an appropriate clustering algorithm for a specific task. A formal approach for addressing this problem relies on the identification of succinct, user-friendly properties that formally capture when certain clustering methods are preferred over others. Until now these properties focused on advantages of classical Linkage-Based algorithms, failing to identify when other clustering paradigms, such as popular center-based methods, are preferable. We present surprisingly simple new properties that delineate the differences between common clustering paradigms, which clearly and formally demonstrates advantages of center-based approaches for some applications. These properties address how sensitive algorithms are to changes in element frequencies, which we capture in a generalized setting where every element is associated with a real-valued weight.

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Margareta Ackerman, Shai Ben-David, Simina Brânzei, David Loker. 2011-09-08. Weighted Clustering. https://arxiv.org/abs/1109.1844

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