甘肃政法学院
本科课程设计
数据仓库与数据挖掘
题 目 基于FCM算法的聚类研究
计算机科学学院(系)信息管理与信息系统专业2011级本科班
学 号 姓 名 指导教师 成 绩 完成时间 2013 年 12 月
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基于FCM算法的聚类研究
摘 要：本文在阐述聚类分析方法的基础上重点研究FCM聚类算法。FCM算法是一种基于划分的聚类算法，它的思想是使得被划分到同一簇的对象之间相似度最大，而不同簇之间的相似度最小。最后基于MATLAB实现了对图像信息的聚类。
关键词：FCM；聚类算法；MTALAB
Cluster Analysis Based on FCM Algorithm
Abstract: This paper describes the basis of cluster analysis methods and focus on the FCM clustering algorithm. FCM algorithm is a clustering algorithm based on division and the idea is to make it to the same cluster is divided into the biggest similarity between the objects, while the minimum similarity between different clusters. Finally, I realize the implementation of image information of the cluster based on MATLAB.
Key words: FCM; Clustering algorithm ;MTALAB
目 录
第1章 概述 ······························· 1 第2章 聚类分析方法 ··························· 1 2.1 聚类分析 ······························ 1 2.2 主要聚类算法的分类 ························· 2 第3章 模糊聚类算法 ·························· 4 3.1图像分割 ······························ 4 3.2 模糊聚类 ······························ 4 3.3模糊C均值算法 ··························· 5 3.4 算法步骤 ······························ 5 3.5基于weka下的FCM聚类分析 ····················· 6 3.6基于MATLAB下的灰度图像分割分析 ·················· 7 第5章 FCM聚类结果 ·························· 12 致 谢 ································· 13 参考文献 ································ 13
数字图像处理论文
