Using Bayesian Classifiers to Enhance Clustering

机译：使用贝叶斯分类器增强聚类

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Recently, combining Naive-Bayes with the Expectation Maximization (EM) algorithm for unsupervised learning have received significant attention. AutoClass is a classical Bayesian clustering algorithm that uses Naive-Bayes in combination with EM algorithm to find the probability distribution parameters to best fit the data. In this study, we introduce a robust approach, which is similar to AutoClass, it can arbitrarily impose any Bayesian classifiers in combination with EM algorithm to enhance cluster's performance. This paper focuses on how clustering techniques can benefit from classification. We provide experimental evidence that more accurate than original results of clustering in the t-test on most of the benchmark data sets.

机译：最近，将朴素贝叶斯与期望最大化（EM）算法结合用于无监督学习受到了广泛关注。 AutoClass是一种经典的贝叶斯聚类算法，结合使用朴素贝叶斯和EM算法来找到最适合数据的概率分布参数。在这项研究中，我们介绍了一种与AutoClass类似的稳健方法，它可以与EM算法结合任意强加任何贝叶斯分类器，以增强群集的性能。本文重点介绍聚类技术如何从分类中受益。我们提供的实验证据表明，在大多数基准数据集上的t检验中，比原始聚类结果更准确。

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来源
《International Conference on Signal Processing(ICSP'06); 20061116-20; Guilin(CN)》|2006年|P.1962-1965|共4页
会议地点 Guilin(CN)
作者
Weihong Wang; Qu Li; Shanshan Han; Xuezhi Zheng;
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作者单位

Software College, Zhejiang University of Technology, Hangzhou 310032, P. R. China;

Computer School, China University of Geosciences, Wuhan, 430074, P. R. China;

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原文格式 PDF
正文语种 eng
中图分类通信理论;
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2. Synthesis of probabilistic fuzzy classifiers using GK clustering and Bayesian estimation [J] . Luiz Ledo, Myriam Regattieri Delgado, Jose Valente de Oliveira Latin America Transactions, IEEE (Revista IEEE America Latina) . 2017,第3期

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3. Selective Bayesian Classifier Based on Semi-supervised Clustering [J] . CHENG Yuhu, TONG Yaoyao, WANG Xuesong 电子学报：英文版 . 2012,第001期

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5. Development of a combined GIS, neural network and Bayesian classifier methodology for classifying remotely sensed data. [D] . Schneider, Claudio Albert. 2002

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6. The Use of Bayesian Latent Class Cluster Models to Classify Patterns of Cognitive Performance in Healthy Ageing [O] . Patrício Soares Costa, Nadine Correia Santos, Pedro Cunha, -1

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Using Bayesian Classifiers to Enhance Clustering

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