CLUSTERING USING A SIMILARITY MEASURE BASED ON SHARED NEAR NEIGHBORS
CLUSTERING USING A SIMILARITY MEASURE BASED ON SHARED NEAR NEIGHBORS
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DOI：
10.1109/t-c.1973.223640
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发表时间：
1973-01-01
影响因子：
3.7
通讯作者：
PATRICK, EA
中科院分区：
文献类型：
--
作者：
JARVIS, RA;PATRICK, EA
提出了一种基于近邻共享的非参数聚类方法。除了是一个基本上paraliel的方法，计算优雅的方法是这样的计划是适用于广泛的实际问题，涉及大样本量和高维数。没有试图表明如何先验的问题知识可以引入到程序中。
A nonparametric clustering technique incorporating the concept of similarity based on the sharing of near neighbors is presented. In addition to being an essentially paraliel approach, the computational elegance of the method is such that the scheme is applicable to a wide class of practical problems involving large sample size and high dimensionality. No attempt is made to show how a priori problem knowledge can be introduced into the procedure.