دورية أكاديمية

Computational method for the point cluster analysis on networks.

التفاصيل البيبلوغرافية
العنوان: Computational method for the point cluster analysis on networks.
المؤلفون: Sugihara, Kokichi, Okabe, Atsuyuki, Satoh, Toshiaki
المصدر: GeoInformatica; Mar2011, Vol. 15 Issue 1, p167-189, 23p, 6 Diagrams, 1 Chart
مصطلحات موضوعية: CLUSTER analysis (Statistics), ALGORITHMS, DISTANCES, MEDIAN (Mathematics), RADIUS (Geometry), ARITHMETIC mean, MATHEMATICAL analysis
مستخلص: We present a general framework of hierarchical methods for point cluster analysis on networks, and then consider individual clustering procedures and their time complexities defined by typical variants of distances between clusters. The distances considered here are the closest-pair distance, the farthest-pair distance, the average distance, the median-pair distance and the radius distance. This paper will offer a menu for users to choose hierarchical clustering algorithms on networks from a time complexity point of view. [ABSTRACT FROM AUTHOR]
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قاعدة البيانات: Complementary Index
الوصف
تدمد:13846175
DOI:10.1007/s10707-009-0092-5