一种关于布尔模式的相似性度量及其应用
A SIMILARITY MEASURE AND ITS APPLICATION
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摘要: 本文提出了一种关于布尔模式的相似性度量,以此为基础,构造了两种聚类算法。这两种算法的共同特征是计算简单、并行性强、便于硬件实现,但对于变化是敏感的;其一具有较高的执行效率,其二具有较高的分类精度。Abstract: A similarity measure about n -dimensional Boolean pattern is proposed in this paper. With this similarity measure, two kinds of clustering algorithms are constructed. These algorithms are simple, parallel, and can be easily implemented with hardware, but they are sensitive to variance.
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