Buch, Englisch, Band 6, 48 Seiten, Format (B × H): 156 mm x 234 mm
An Overview
Buch, Englisch, Band 6, 48 Seiten, Format (B × H): 156 mm x 234 mm
Reihe: Foundations and Trends® in Machine Learning
ISBN: 978-1-60198-344-2
Verlag: Now Publishers
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.
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1: Introduction 2: Clustering stability: definition and implementation 3: Stability analysis of the K-means algorithm 4: Beyond K-means 5: Outlook. References.
