Willkommen, schön sind Sie da!
Logo Ex Libris

A New Measure for Clustering Model Selection

  • Kartonierter Einband
  • 68 Seiten
(0) Erste Bewertung abgegeben
Bewertungen
(0)
(0)
(0)
(0)
(0)
Alle Bewertungen ansehen
Typical k-means clustering procedures require a priori knowledge of the number of clusters in the data set. This value can be very... Weiterlesen
CHF 65.00
Print on demand - Exemplar wird für Sie besorgt.

Beschreibung

Typical k-means clustering procedures require a priori knowledge of the number of clusters in the data set. This value can be very difficult to ascertain. Existing heuristic methods work in some cases, but are rarely very reliable. Herein, a new method for determining the number of k-means clusters in a given data set is presented. The algorithm is developed from its theoretical basis and its implementation is examined and compared to existing solutions.

Autorentext

Jesse McCrosky, M.Math completed his Master's Degree in Computer Science at the University of Waterloo. He is currently pursuing a Ph.D. in Community Health and Epidemiology at the University of Saskatchewan and working for Statistics Canada as a Research Data Centre Analyst.

Produktinformationen

Titel: A New Measure for Clustering Model Selection
Untertitel: Automatic Detection of the Number of Clusters in a Data Set
Autor:
EAN: 9783838323978
ISBN: 3838323971
Format: Kartonierter Einband
Anzahl Seiten: 68
Gewicht: 118g
Größe: H220mm x B150mm x T4mm
Veröffentlichung: 01.11.2009
Jahr: 2009

Bewertungen

Gesamtübersicht

Meine Bewertung

Bewerten Sie diesen Artikel