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Description: Kmeans algorithm in C++,output a result.txt containing clustering result.-Kmeans algorithm in C, output a result.txt containing clustering res ult.
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Author: middy |
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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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Author: li |
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Description: 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.-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.
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Author: 赵丁香 |
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Description: 神经网络模式识别及其实现，第八章。
内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.
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Author: 五专 |
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Description: 程序说明：
Form1.cs是应用聚类算法DBSCAN (Density-Based Spatical Clustering of Application with Noise)的示例，可以通过两个参数EPS和MinPts调节聚类。
DBSCAN.cs是实现文件，聚类算法的进一步信息请参考“数据挖掘”或者相关书籍
聚类示例数据来自于sxdb.mdb，一个Access数据库。
已知问题及进一步改进建议：
问题：dbscan.cs行64，SortedList不支持重复键，因此若两个数据点距离相同则无法加入集合
解决：采用人为减小一个微小量，使数据点距离不同且不影响聚类结果
上一解决方案的问题：减小double.Epsilon微小量无助于使SortedList认为两点距离以及不同
解决：采用一个指数增长的微小量，连续重试直至SortedList认为距离已经不同
进一步改进建议：可能通过double的强制转型为内存中的byte类型（假设double型转为8个byte）
然后最后一个byte减去0x01可比较漂亮的解决问题，但是……呵呵，C#中我不会这个操作
也可以自己实现一个SortedList，支持重复键，当然，这，好像是微软应该做的工作了 ^_^
Eric Guo
<http://www.cnblogs.com/ericguo/>
-procedures : Form1.cs clustering algorithm is applied DBSCAN (Density-Based Spati cal Clustering of Application with Noise) example, two parameters can EPS and MinPts regulation clustering. DBSCAN.cs is, the clustering algorithm further information please refer to the "data mining" or books related data clustering example from sxdb.m db, an Access database. Known issues and recommendations for further improvement : : 64 dbscan.cs OK, SortedList not support duplicate keys, and therefore if two data points from the same pool can not be solved by adding : By applying an artificially reduce a small amount of data from different points without clustering results on the impact of a solution of the problem : double.Epsilon small decrease in the amount of helplessness to make that 2:00 S
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Author: Huang Yi |
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Description: 使用matlab进行实现的kmeans算法。数据集。-use Matlab for achieving the kmeans algorithm. Data sets.
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Size: 59392 |
Author: zyjchlina |
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Description: Kmeans algorithm in C++,output a result.txt containing clustering result.-Kmeans algorithm in C, output a result.txt containing clustering res ult.
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Size: 49152 |
Author: middy |
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Description: 在Visual C++.NET2003平台下实现聚类算法中的K-MEANS算法，对随机生成的点进行了聚类。使用单文档结构，并将聚类结果显示出来。-In the Visual C++. NET2003 platform clustering algorithm to achieve the K-MEANS algorithm, on randomly generated points in the cluster. Use a single document structure, and clustering results are displayed.
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Author: 杨维斌 |
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Description: 经典的java编写的模糊C算法，已经在eclipse中编译测试成功，可测试出多个gis坐标的中心点-Java prepared classic fuzzy C algorithm, has been in eclipse in the compiler test is a success, can test multiple gis coordinates of the center
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Author: 张三峰 |
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Description: 利用java写的快速模糊C均值算法，用与图像分割，聚类等领域。-Using java to write fast fuzzy C-means algorithm using image segmentation, clustering and other fields.
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Size: 3072 |
Author: huangyu |
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Description: 用于kmeans算法实现,是用C语言编写的，易于转为C++，可以方便想知道kmeans后台算法的朋友学习，希望那个对大家有所帮助-Kmeans algorithm used to realize, is to use C language, easy to C++, Can easily want to know the background kmeans Friend learning algorithm, in the hope that all of you to help
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Author: 尹梓名 |
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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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Author: Yifan Young |
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Description: 这是用C++编写的数据挖掘的聚类算法。算法中使用了链表结构做为存储数据的容器。-It is written in C++, data mining clustering algorithm. Algorithm is used to store data as a linked list structure of the container.
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Author: 柯安滨 |
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Description: k-means C++ 源代码，
修正原来的错误，
增加的新功能
1、用vector实现其存储
2、直接在程序中读取数据集
3、结果可以保存到文件中
4、用户可以输入聚类个数
5、初始聚类中心随机选择(代码自动随机)-k-means C++ source code, fixes the original error, the increase in new features 1, 2, with the vector to achieve its store directly in the program to read data set 3, the results can be saved to a file 4, the user can enter the number of clusters 5, the initial cluster centers randomly selected (code auto-random)
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Author: 烈马 |
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Description: k均值算法是模式识别的聚分类问题，这是用C#实现其算法-K-means algorithm is pattern recognition of poly classification problem, this is written in c# realize its algorithm
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Size: 5120 |
Author: lihang |
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Description: k均值分类在遥感影像中的应用，完整的c++代码，注释详细易懂，并且已经验证过-k-means classification in remote sensing images in the application, complete c++ code, comments, detailed and easy to understand, and have been verified
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Size: 13312 |
Author: xl |
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Description: 数据挖掘Kmeans算法C/C++语言实现。
提供接口让使用者可以指定输入输出文件、聚类结果中类别个数、中心点计算方式、初始化方法。-Kmeans,data mining algorithms,C/C++language.
Provides the interface so that users can specify the input and output file, type in the number of clustering results, the center of calculation, initialization method.
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Author: blue |
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Description: Implementation of K-means algorithm used for vector quantization and clustering in C#
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Description: this is k-means clustering in c-this is k-means clustering in c++
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Author: shahrzad |
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Description: Kmeans算法C++实现,Kmeans是数据挖掘的一种数据分类算法(kmeans algorithm achieved in C++)
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Size: 13867008 |
Author: 西电吴彦祖 |
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