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Clustering Stability : An Overview

Part of the Foundations and Trends (R) in Machine Learning series
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A popular method for selecting the number of clusters is based on stability arguments: one chooses the number of clusters such that the corresponding clustering results are most stable.

In recent years, a series of papers has analyzed the behavior of this method from a theoretical point of view.

However, the results are very technical and difficult to interpret for non-experts. In this paper the authors give a high-level overview about the existing literature on clustering stability.

In addition to presenting the results in a slightly informal but accessible way, they relate them to each other and discuss their different implications.

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£42.95
Product Details
now publishers Inc
1601983441 / 9781601983442
Paperback / softback
519.5
21/04/2010
United States
54 pages
156 x 234 mm, 92 grams
Professional & Vocational Learn More