Probability Models and Limit Theorems for Random Interval Graphs with Applications to Cluster Analysis-Reference-Cited by-同舟云学术

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Probability Models and Limit Theorems for Random Interval Graphs with Applications to Cluster Analysis

Published:1998 Issue: Volume: Page:54-61
ISSN:1431-8814
Container-title:Classification, Data Analysis, and Data Highways
language:
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Author:

Harris B.,Godehardt E.

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-72087-1_6.pdf

Reference9 articles.

1. BOCK, H.H. (1974): Automatische Klassifikation. Vandenhoeck & Ruprecht, Göttingen.

2. DAVID, H.A. (1981): Order statistics. John Wiley & Sons, New York.

3. EBERL, W., HAFNER, R. (1971): Die asymptotische Verteilung von Koinzidenzen. Zeitschrift für Wahrscheinlichkeitstheorie und verwandte Gebiete, 18, 322–332.

4. GODEHARDT, E. (1990): Graphs as structural models. Vieweg, Braunschweig.

5. GODEHARDT, E., HARRIS, B. (1995): Asymptotic properties of random interval graphs and their use in cluster analysis. University of Wisconsin Statistics Department Technical Report (submitted for publication).

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. On the clustering of independent uniform random variables;Random Structures & Algorithms;2004-06-28

2. Central limit theorems for k-nearest neighbour distances;Stochastic Processes and their Applications;2000-02

3. The Comparative Efficacy of Some Combinatorial Tests for Detection of Clusters and Mixtures of Probability Distributions;Studies in Classification, Data Analysis, and Knowledge Organization;1999

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