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Description: K-MEANS算法实现
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Size: 182302 |
Author: tlf577@qq.com |
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Description: 本实验基于K-Means聚类算法思想实现了字符分割,因为车牌规定是7位的,所以K取7。另外本实验对K-Means算法进行了改进,充分考虑了初始点的设置及迭代结束条件。实验结果证明这种改进的K-Means算法实现车牌字符分割是快速、有效的。
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Size: 1373624 |
Author: hellosn |
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Description: K-means算法 机器学习
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Size: 209690 |
Author: taokelu@126.com |
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Description: 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.
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Size: 30720 |
Author: 刘思 |
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Description: 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> -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>
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Size: 3072 |
Author: li |
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Description: K均值算法的一个改进算法,简单实用,但是有点简单。-K-means algorithm of an improved algorithm is simple and practical, but a bit simple.
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Size: 79872 |
Author: 石支柱 |
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Description: 这次上传的代码是关于K-means clusters的代码,希望能对大家有用。-The uploaded code is about K-means clusters.I hope it can be a help to everyone.
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Size: 5120 |
Author: 李乐 |
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Description: k-means聚类算法源码。kmeans是一种常用的分割算法,简单而又高效。-k-means clustering algorithm source code. Kmeans is a common segmentation algorithm is simple but efficient.
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Size: 1024 |
Author: 熊健 |
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Description: 这个是K-Means动态聚类算法的源程序,需要的请下,请多多指教,谢谢!-This is a K- Means clustering algorithm source, the need to please, please exhibitions, thank you!
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Size: 32768 |
Author: HaicoLi |
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Description: k均值聚类算法分析,采用C++编程技术,提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
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Size: 30720 |
Author: chu na |
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Description: MATLAB编写的一种模式识别里的重要的模糊聚类方法K-means算法的matlab程序.-MATLAB prepare a Pattern Recognition's important Fuzzy clustering methods K-means algorithm Matlab procedures.
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Size: 55296 |
Author: zs |
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Description: 数据挖掘中模糊k均值算法,matlab工具编写。-data mining fuzzy k-means algorithm, Matlab tool for the preparation.
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Size: 4096 |
Author: 明文 |
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Description: VC k-means聚类算法源码。kmeans是一种常用的分割算法,简单而又高效-VC k-means clustering algorithm source code. Kmeans is a common segmentation algorithm, simple and efficient
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Size: 1024 |
Author: puxx |
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Description: MATLAB 数据挖掘算法,fuzzy-K-means聚类算法源代码,用于模糊聚类分析-MATLAB data mining algorithms, fuzzy-K-means clustering algorithm source code, Fuzzy clustering analysis for the
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Size: 1024 |
Author: puxx |
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Description: 一个基于类的k-means算法的实现。学习这个算法的一个好例子-a category based on the k-means algorithm. By studying the algorithm a good example
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Size: 1024 |
Author: 小朱 |
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Description: k-means算法 C++实现-k-means algorithm to achieve C
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Size: 1024 |
Author: 孔明 |
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Description: 2个举类的简单k-means算法,非常简单,新手给大家提供参考了-two categories give a simple k-means algorithm is very simple, and newcomers to provide a reference to the
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Size: 3072 |
Author: 姜珏 |
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Description: 模糊c均值,m值,误差限,迭代次数由用户自己输入,聚类效果好。-fuzzy c-means, m value, the error limits, the number of iterations user input, clustering effects.
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Size: 3072 |
Author: 杨韧洲 |
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Description: 关于k-means聚类算法的MATLAB实现-On the k-means clustering algorithm of MATLAB realize
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Size: 10240 |
Author: chen |
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Description: k均值算法,基于两维的-k-means algorithm, based on two-dimensional
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Size: 6144 |
Author: |
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