This directory contains code implementing the K-means algorithm. Source code

may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS

program accepts input consisting of vectors and calculates the given

number of cluster centers using the K-means algorithm. Output is

directed to the screen.



Usage for KMEANS is:

KMEANS SOURCEFILE <enter>



The format of the source file is:



NPat - Number of patterns (int)

SizeVect - Size of vector (int)

NClust - Number of cluster centers(int)

vect[1,1] ... vect[1,SizeVect] - vector 1 (real)

vect[2,1] ... vect[2,SizeVect] - vector 2 (real)

. .

. .

. .

vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real)





To compile:

ICC KMEANS.CPP <enter>

-This directory contains code implementing the K-means algorithm.　Source code

may be found in KMEANS.CPP.　Sample data isfound in KM2.DAT.　The KMEANS

program accepts input consisting of vectors and calculates the given

number of cluster centers using the K-means algorithm.　Output is

directed to the screen.



Usage for KMEANS is:

　 KMEANS SOURCEFILE <enter>



The format of the source file is:



　NPat　　　　　　　　　　　　　　　　　　- Number of patterns (int)

　SizeVect　　　　　　　　　　　　　　　　- Size of vector　(int)

　NClust　　　　　　　　　　　　　　　　　- Number of cluster centers(int)

　vect[1,1]　　... vect[1,SizeVect]　　　 - vector 1 (real)

　vect[2,1]　　... vect[2,SizeVect]　　　 - vector 2 (real)

　　 .　　　　　　　　　　 .

　　 .　　　　　　　　　　 .

　　 .　　　　　　　　　　 .

　vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real)





To compile:

　 ICC KMEANS.CPP　<enter>