Batchelor-Wilkins 算法在图形聚类中的应用

Indonesian Journal of Applied Mathematics Pub Date : 2023-07-30 DOI:10.35472/indojam.v3i1.1259

Christyan Tamaro Nadeak

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引用次数: 0

摘要

Batchelor-Wilkins 算法是一种简单的启发式聚类算法，用于未知类数的情况。在本文中，我们将把 Batchelor-Wilkins 算法用于图聚类，特别是香蕉树图 B(n,k)，这是一种通过将完整双熵图 K_{1,k-1} 的 n 份副本中每份副本的一个叶子连接到一个根顶点而得到的图。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Penerapan Algoritma Batchelor-Wilkins dalam Pengklasteran Graf

Batchelor-Wilkins Algorithm is a simple and heuristic clustering algorithm used when the number of classes is unknown. In this paper we will use Batchelor-Wilkins algorithm in graph clustering, specifically a Banana Tree Graph B(n,k), a graph obtained by connecting one leaf of each of n copies of a complete bipartite graph K_{1,k-1} to a single root vertex.

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Indonesian Journal of Applied Mathematics

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