Abstract
The Gap statistic is a standard method for determining the number of clusters in a set of data. The Gap statistic standardizes the graph of $\log(W_{k})$, where $W_{k}$ is the within-cluster dispersion, by comparing it to its expectation under an appropriate null reference distribution of the data. We suggest to use $W_{k}$ instead of $\log(W_{k})$, and to compare it to the expectation of $W_{k}$ under a null reference distribution. In fact, whenever a number fulfills the original Gap statistic inequality, this number also fulfills the inequality of a Gap statistic using $W_{k}$, but not \textit{vice versa}. The two definitions of the Gap function are evaluated on several simulated data set and on a real data of DCE-MR images.
Dokumententyp: | Paper |
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Publikationsform: | Submitted Version |
Keywords: | average linkage, Gap statistic, log function, number of clusters, within cluster dispersion |
Fakultät: | Mathematik, Informatik und Statistik > Statistik > Technische Reports
Mathematik, Informatik und Statistik > Statistik > Lehrstühle/Arbeitsgruppen > Bioimaging |
Themengebiete: | 000 Informatik, Informationswissenschaft, allgemeine Werke > 000 Informatik, Wissen, Systeme
500 Naturwissenschaften und Mathematik > 510 Mathematik 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
JEL Classification: | C38 |
URN: | urn:nbn:de:bvb:19-epub-11920-3 |
Sprache: | Englisch |
Dokumenten ID: | 11920 |
Datum der Veröffentlichung auf Open Access LMU: | 03. Dez. 2010, 10:42 |
Letzte Änderungen: | 04. Nov. 2020, 12:52 |
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