基于spark的模糊c均值聚类算法研究

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1、目录目录摘要.............................................................................................IABSTRACT......................................................................................III第1章绪论.........................................................

2、...........................11.1研究背景........................................................................................11.2研究目的........................................................................................21.3研究现状................................

3、........................................................41.4研究内容及论文结构......................................................................61.4.1主要研究内容...........................................................................61.4.2论文组织结构.....................

4、......................................................7第2章聚类算法研究........................................................................82.1引言...............................................................................................82.2聚类方法综述............

5、.....................................................................82.2.1划分聚类方法...........................................................................82.2.2层次聚类方法...........................................................................102.2.3密度聚类方法...

6、........................................................................102.2.4网格聚类方法...........................................................................112.1聚类方法可扩展性分析...................................................................122.2基于目标函数的模糊c均值

7、............................................................132.3本章小结........................................................................................16第3章Hadoop和Spark的分布式架构对比............................................173.1引言..........................

8、.....................................................................173.2通用分布式框架Hadoop..................................................................173.2.1分布式文件系统HDFS................