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KMEANS
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>
)
- 2013-01-05 23:11:23下载
- 积分:1
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这个程序要求读者具备编译原理的一些知识。
(Advanced calculator than Windows built, the whole expression input can be then evaluated. This program requires the reader to have some knowledge of compiler theory.)
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8.1 最小二乘曲线拟合hpir1.c
8.2 切比雪夫曲线拟合hchir.c
8.3 最佳一致逼近的里米兹法hremz.c
8.4 矩形域的最小二乘曲面拟合hpir2.c(8.1 Least-squares curve-fitting hpir1.c 8.2 Chebyshev curve fitting the best uniform approximation hchir.c 8.3 years Meeds law hremz.c 8.4 rectangular domain least-squares surface fitting hpir2.c)
- 2009-10-15 14:30:44下载
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CT迭代重建算法中3维投影矩阵的生成算法,该算法对学习计算机断层层析成像很有帮助。(CT image reconstruction projection ,3D)
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