fcm-1

所属分类:人工智能/神经网络/深度学习
开发工具:C/C++
文件大小:75KB
下载次数:60
上传日期:2010-07-21 09:52:51
上 传 者lxwjj
说明:  在C#编程环境下,实现模糊聚类(FCM)算法
(In the C# programming environment, the fuzzy clustering (FCM) algorithm)

文件列表:
fcm-1\FCM\data\center.txt (190, 2002-08-10)
fcm-1\FCM\data\datain.txt (36775, 2002-08-10)
fcm-1\FCM\data\matrix.txt (44384, 2002-08-10)
fcm-1\FCM\data\paramOut.txt (24, 2002-08-10)
fcm-1\FCM\FCM.APS (20656, 2002-08-10)
fcm-1\FCM\FCM.clw (1057, 2003-03-05)
fcm-1\FCM\FCM.cpp (2021, 2002-07-13)
fcm-1\FCM\FCM.dsp (4105, 2002-07-13)
fcm-1\FCM\FCM.dsw (529, 2002-07-13)
fcm-1\FCM\FCM.h (1291, 2002-07-13)
fcm-1\FCM\FCM.ncb (74752, 2003-03-05)
fcm-1\FCM\FCM.opt (55808, 2003-03-05)
fcm-1\FCM\FCM.plg (1556, 2002-07-31)
fcm-1\FCM\FCM.rc (5216, 2002-07-13)
fcm-1\FCM\FCMDlg.cpp (12680, 2003-03-05)
fcm-1\FCM\FCMDlg.h (1627, 2002-07-15)
fcm-1\FCM\FCM聚类算法介绍.doc (59904, 2003-03-05)
fcm-1\FCM\res\FCM.ico (1078, 2002-07-13)
fcm-1\FCM\res\FCM.rc2 (395, 2002-07-13)
fcm-1\FCM\Resource.h (528, 2002-07-13)
fcm-1\FCM\StdAfx.cpp (205, 2002-07-13)
fcm-1\FCM\StdAfx.h (1056, 2002-07-13)
fcm-1\FCM\data (0, 2002-08-10)
fcm-1\FCM\Debug (0, 2003-03-05)
fcm-1\FCM\res (0, 2002-07-16)
fcm-1\FCM (0, 2002-07-16)
fcm-1 (0, 2010-06-25)

请运行程序,并在程序所在文件夹下面创建文本文件:datain.txt和paramOut.txt,文件的详细说明见下面。程序的运行没有可视的界面,运行完毕之后会在该文件夹下面产生center.txt和matrix.txt两个文件,其中center.txt为聚类的中心,matrix.txt为隶属度矩阵。在运行本程序之前,先参考一下FCM聚类算法介绍.doc 输入文件: datain.txt paramOut.txt 其中,datain.txt表示输入的样本数据 paramOut.txt表示输入的聚类参数。 1168 5 4 2 500 .1 其中1168表示样本点的个数,5表示输入样本的维数,4表示要聚类的类别数,2表示m参数,500表示最大的循环次数,0.1表示聚类的精度。 输出文件 center.txt表示聚类的中心, 2.235158,2.216862,2.259246,2.179756,14.487826, 2.011866,1.990132,1.***6863,1.928874,9.807125, 2.159366,2.154501,2.137472,2.051354,21.563583, 1.777569,1.751310,1.846922,1.76***09,2.417483, 一个行表示一个类中心,一个列表示一个维度。 matrix.txt 0.063055,0.129468,0.029966,0.777510, 0.011885,0.030029,0.004839,0.953246, 0.012895,0.035797,0.004966,0.946342, 0.***2582,0.010087,0.005656,0.001675, 0.017419,0.047566,0.006742,0.928273, 0.113058,0.570329,0.031078,0.285535, 0.623048,0.305760,0.040247,0.030945, 0.081656,0.862810,0.014612,0.040923, 0.911263,0.040214,0.040591,0.007932, 0.006618,0.017270,0.002653,0.973458, 0.004695,0.012169,0.001894,0.***1242, 0.004305,0.011272,0.001727,0.***2697, 0.006***3,0.017895,0.002830,0.972292, 一个行表示一个样本属于四个类的隶属度向量,一个列表示属于第几类的隶属度。 本软件源代码公开,如有改动使用请拷贝一份给作者:jakezj@163.com 主页:http://agents.yeah.net

近期下载者

相关文件


收藏者