題目： 已知全班有65人，期末考共8門課，每門功課成績均用百分制（整數）計分，請輸入全班同學成績，在A盤上生成全班成績文件：A:\allscore.dat。輸入形式為： 學號 成績1 成績2 ··· 成績8 long int int int 從全班成績文件中讀出同學成績資料，統計出至少有4門課成績>=85分，其余>=70分的同學及其資料，在D盤上生成D:\score.dat文件；從全班成績文件中找出需要參加補考（有一門或一門以上課程成績<60分）的同學及其資料在C盤上生成補考文件C:\scoreb.dat。
This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen.
Locally weighted polynomial regression LWPR is a popular instance based al gorithm for learning continuous non linear mappings For more than two or three in puts and for more than a few thousand dat apoints the computational expense of pre dictions is daunting We discuss drawbacks with previous approaches to dealing with this problem
This directory contains utility for implementing generic Reqursive Least Squares (RLS) algorithm. The example shows how one can use the utility to estamate the parameters of a simple linear discrete time system.
