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说明： 基于FCM的数据聚类分析及Matlab 实现
戈国华, 肖海波, 张敏
( 江西理工大学信息工程学院江西赣州341000 )
【摘要】: 聚类是数据挖掘中常用的数据分析技术。本文详细介绍了FCM聚类算法的理论和实现步骤。并用Matlab 演
示了FCM用于数据聚类。结果表明FCM算法是一种高效的数据聚类算法, 有很广泛的应用。(FCM clustering analysis based on the data and Matlab implementation Ge Guohua, Xiao Haibo, Zhang Min (Institute of Information Engineering, Jiangxi University of Ganzhou, Jiangxi 341000, China) Abstract: Clustering is commonly used in data mining, data analysis techniques. This paper describes the FCM clustering algorithm theory and implementation steps. And demonstrates the use of Matlab for data clustering FCM. The results show that the FCM algorithm is an efficient data clustering algorithm, a very wide range of applications.)
- 2011-04-08 13:08:45下载
- 积分：1
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交织码通常表示为（M，N），分组长度L=MN，交织方式用M行N列的交织矩阵表示。一般，交织方式分为分组交织和卷积交织。分组交织的交织矩阵按列写入，按行读出；去交织矩阵按行写入按列读出。卷积交织的交织矩阵和去交织矩阵的写入与读出均按行进行。(Intertwined code is usually expressed as (M, N), the packet length L = MN, interwoven manner, said interwoven matrix with M rows and N columns. In general, interwoven into the packet interleaving and convolutional interleaving. Grouping of interwoven interwoven matrix column to write, to read de-interlacing matrix read out by column written by line by line. Convolutional interleaving interleaving matrix and de-interlacing matrix to write and read are OK.)
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