节点文献
基于贝叶斯方法的Q型聚类算法研究
Study on Bayesian Method in Q-type Clustering Algorithm
【摘要】 聚类分析根据类对象划分为Q型聚类和R型聚类,基于贝叶斯方法的Q型聚类算法,详细说明该算法的基本思想和具体实现过程。实验结果表明算法的可行性,该算法对于数据挖掘具有一定的参考价值。
【Abstract】 According to the object data, clustering analysis can be categorized into two groups: R-type and Q-type. This paper studies on Q-type clustering algorithms based on Bayesian method, particularly introduces the basic ideas and detailed implement course of this algorithm. Experimental results show the availability of the algorithm, and it has some reference value for the study of data mining.
- 【文献出处】 计算机与数字工程 ,Computer & Digital Engineering , 编辑部邮箱 ,2007年07期
- 【分类号】TP18;TP311.13
- 【被引频次】4
- 【下载频次】174