System for fuzzy document clustering and fast fuzzy classification

M. Rojček
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引用次数: 4

Abstract

The paper introduces uncontrolled fuzzy document clustering and fast fuzzy classification. This system is based on KMART neural network that realizes clustering, and original Fuzzy classification algorithm on the base of Fuzzy ART network that realizes classification. Both algorithms share their weights. Uncontrolled system has two separate flows: by first one we influence structure of categories (plasticity) and second one classifies without possibility to influence defined structure (stability). The paper shows legitimacy of such an approach with regard on quality and speed of classification.
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系统实现了模糊文档聚类和快速模糊分类
介绍了不受控制的模糊文档聚类和快速模糊分类。该系统基于KMART神经网络实现聚类,基于模糊ART网络实现分类的原始模糊分类算法。两种算法的权重相同。非受控系统有两个独立的流程:第一个流程影响类别结构(塑性),第二个流程不影响已定义结构(稳定性)。本文从分类质量和分类速度两方面证明了这种方法的合理性。
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