85,67 €
95,19 €
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Clustering Stability
Clustering Stability
85,67
95,19 €
  • We will send in 10–14 business days.
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 we give a high-level overview about the existing literature on clustering stability. In addition to pres…
95.19
  • Publisher:
  • Year: 2010
  • Pages: 54
  • ISBN-10: 1601983441
  • ISBN-13: 9781601983442
  • Format: 15.6 x 23.4 x 0.3 cm, minkšti viršeliai
  • Language: English
  • SAVE -10% with code: EXTRA

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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 we 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, we relate them to each other and discuss their different implications.

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  • Author: Ulrike Von Luxor
  • Publisher:
  • Year: 2010
  • Pages: 54
  • ISBN-10: 1601983441
  • ISBN-13: 9781601983442
  • Format: 15.6 x 23.4 x 0.3 cm, minkšti viršeliai
  • Language: English English

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 we 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, we relate them to each other and discuss their different implications.

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