网格聚类方法在数据分类中的应用

Proceedings. International Conference on Parallel Computing in Electrical Engineering Pub Date : 2002-09-22 DOI:10.1109/PCEE.2002.1115319

P. Grabusts, A. Borisov

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引用次数: 32

摘要

本文研究了网格聚类方法。与传统方法不同，这种方法组织了图案周围的空间。它使用多维网格数据结构。通过邻居搜索对值空间的结果块分区进行聚类。给出了所采用算法的数学描述。介绍了一些案例研究和如何使用这些算法的想法。

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Using grid-clustering methods in data classification

This paper examines grid-clustering method. Unlike the conventional methods, this method organizes the space surrounding the patterns. It uses a multidimensional grid data structure. The resulting block partitioning of the value space is clustered via a neighbor search. The mathematical description of the algorithms employed is given. Some case studies and ideas on how to use the algorithms are described.

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Proceedings. International Conference on Parallel Computing in Electrical Engineering

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