fast implementation of Kmeans clustering algorithm
标签： implementation clustering algorithm Kmeans
上传时间： 2014-01-17
上传用户：爱死爱死
密码算法程序包miracl使用手册 The full Manual is available in both MS Word
标签： available miracl Manual full
上传时间： 2016-07-08
上传用户：开怀常笑
基于Asp.net、MS sql sever 2000、C# 论坛系统源码，均在windows 2003上调试通过。
上传时间： 2013-12-25
上传用户：gengxiaochao
基于Asp.net、MS sql sever 2000、C# 汽车交易系统源码，均在windows 2003上调试通过。
上传时间： 2014-01-09
上传用户：日光微澜
基于Asp.net、MS sql sever 2000、C# 网上书店系统源码，均在windows 2003上调试通过。
上传时间： 2016-07-09
上传用户：jjj0202
matlab clustering 非常好的 聚类分析代码
标签： clustering matlab 聚类分析 代码
上传时间： 2016-07-12
上传用户：海陆空653
java 通用连接 MS SQL 的写法 ，给新手用吧 DBconnect DBC DBC = new DBconnect() java.sql.Statement stmt = null if (DBC.connectDB()) {
上传时间： 2013-12-28
上传用户：gmh1314
Project file for MS Visual C++ 6.0. Requires GLUT DLL (www.opengl.org) Adjust program constants in Landscape.h and Utility.cpp. MAPS: Default map is read from HeghtXXX.raw where XXX is the MAP_SIZE (as defined in Landscape.h). If this map is not found, the program attempts to open "Map.ved", a Tread Marks map file. Tread Marks maps will only work for MAP_SIZE == 1024. Also, the MULT_SCALE to view Tread Marks maps correctly is "0.25f". (www.TreadMarks.com)
标签： constants Requires Project program
上传时间： 2014-12-03
上传用户：LouieWu
常见卡(SD,NAND,XD,MS,ATA,CF)完整DRIVER
上传时间： 2016-07-31
上传用户：yph853211
The task of clustering Web sessions is to group Web sessions based on similarity and consists of maximizing the intra- group similarity while minimizing the inter-group similarity． The first and foremost question needed to be considered in clustering W b sessions is how to measure the similarity between Web sessions．However．there are many shortcomings in traditiona1 measurements．This paper introduces a new method for measuring similarities between Web pages that takes into account not only the URL but also the viewing time of the visited web page．Yhen we give a new method to measure the similarity of Web sessions using sequence alignment and the similarity of W eb page access in detail Experiments have proved that our method is valid and e币cient．
标签： sessions clustering similarity Web
上传时间： 2014-01-11
上传用户：songrui
