fast implementation of Kmeans clustering algorithm
標簽： implementation clustering algorithm Kmeans
上傳時間： 2014-01-17
上傳用戶：愛死愛死
密碼算法程序包miracl使用手冊 The full Manual is available in both MS Word
標簽： available miracl Manual full
上傳時間： 2016-07-08
上傳用戶：開懷常笑
基于Asp.net、MS sql sever 2000、C# 論壇系統源碼，均在windows 2003上調試通過。
上傳時間： 2013-12-25
上傳用戶：gengxiaochao
基于Asp.net、MS sql sever 2000、C# 汽車交易系統源碼，均在windows 2003上調試通過。
上傳時間： 2014-01-09
上傳用戶：日光微瀾
基于Asp.net、MS sql sever 2000、C# 網上書店系統源碼，均在windows 2003上調試通過。
上傳時間： 2016-07-09
上傳用戶：jjj0202
matlab clustering 非常好的 聚類分析代碼
標簽： clustering matlab 聚類分析 代碼
上傳時間： 2016-07-12
上傳用戶：海陸空653
java 通用連接 MS SQL 的寫法 ，給新手用吧 DBconnect DBC DBC = new DBconnect() java.sql.Statement stmt = null if (DBC.connectDB()) {
上傳時間： 2013-12-28
上傳用戶：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)
標簽： constants Requires Project program
上傳時間： 2014-12-03
上傳用戶：LouieWu
常見卡(SD,NAND,XD,MS,ATA,CF)完整DRIVER
上傳時間： 2016-07-31
上傳用戶：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幣cient．
標簽： sessions clustering similarity Web
上傳時間： 2014-01-11
上傳用戶：songrui
