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Description: 包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类
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Size: 2241 |
Author: XSSun |
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Description: 包含两个文件KMEAN.h,KMEAN.CPP,使用方法非常简单，将数据存成.dat文件，即可对其进行Ｋ均值聚类-Consists of two documents KMEAN.h, KMEAN.CPP, very simple to use, the data saved as. Dat file can be K-means clustering
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Size: 2048 |
Author: XSSun |
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Description: 标准C++/C处理BMP图像，没有使用VC中的BITMAP类及任何不在ANSI-C中的结构和函数。采用了k_means压缩算法处理24bit（可以更改源码使之支持8-bit,16-bit和灰度bmp）源码注释详细，其中对BMP文件BMPHEADINFO的处理比较有趣。
new.cpp---->主要的程序代码
*.h----->一个产生U(0,1)随机数的发生器，相合度较小，DES函数产生。-Standard C++/C handle BMP images, do not use the VC in the category and any BITMAP not ANSI-C in the structure and function. K_means compression algorithm used to deal with 24bit (you can change the source code to support the 8-bit ,16-bit and grayscale bmp) detailed source notes, in which the handling of BMP files BMPHEADINFO more interesting. new.cpp----> the main program code*. h-----> generate a U (0,1) random number generator, a smaller degree of consistency, DES Function Generator.
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Size: 4096 |
Author: Yifan Young |
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Description: now, how can i call kmeans function for h , s,v separately, what
parameters to be passed.
here h is 512*512 matrix.and how can i construct the clustered/segmented image from the kmeans
result.
need sample code in matlab
its urgent. Please help.-now, how can i call kmeans function for h , s,v separately, what
parameters to be passed.
here h is 512*512 matrix.and how can i construct the clustered/segmented image from the kmeans
result.
need sample code in matlab
its urgent. Please help.
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Size: 2048 |
Author: jntu |
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Description: kmeans algo implemented in newkmeans2_1.c uses the header file IOV2.H. Given a set of data points and the number (k) of means (or clusters required for further processing), this algo gives the approximate means.-kmeans algo implemented in newkmeans2_1.c uses the header file IOV2.H. Given a set of data points and the number (k) of means (or clusters required for further processing), this algo gives the approximate means.
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Size: 3072 |
Author: Swapna Agarwal |
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Description: clustering using kmeans. Good for H-clustering using kmeans. Good for HMM
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Size: 2048 |
Author: john Kim |
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Description: 自己编写的kmeans算法程序，是应用于模式识别的一种方法(The kmeans algorithm written by myself is a method applied to pattern recognition.)
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Size: 1024 |
Author: 圆脸君 |
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