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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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Size: 64543 |
Author: 赵丁香 |
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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: 1659 |
Author: 熊健 |
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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: 1659 |
Author: puxx |
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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.
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Size: 30425 |
Author: 王宏君 |
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Description: k-meansy算法源代码。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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Size: 32426 |
Author: 韩明芳 |
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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: 31000 |
Author: 刘思 |
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Description: kmeans算法的源代码-kmeans algorithm source code
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Size: 3028 |
Author: 张华杰 |
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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>
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Size: 3497 |
Author: li |
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Description: k-meansy算法源代码。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.-k-meansy algorithm source code. 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: 31744 |
Author: |
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Description: 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators.
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Size: 2136064 |
Author: 王梦萍 |
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Description: VC++实现的BP神经网络类，
KMEANS聚类算法实现程序，
神经网络基本算法源程序，-VC++ implementation of BP neural network class, KMEANS clustering algorithm process, the basic algorithm for neural network source code,
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Size: 250880 |
Author: 王冠 |
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Description: 文档中集成了数据挖掘最常用的几种算法的Matlab源码,其中包括了Kmeans,KNN等算法的源码，希望能对大家有所帮助。-Document incorporates the most commonly used data mining algorithms for the Matlab source code, including Kmeans, KNN algorithms in source code, hoping to help.
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Size: 7168 |
Author: liuming |
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Description: 该工具箱的目的是要帮助人们理解计算机视觉方法引用另一种为在 matlab 的源代码。 因此，一些方法被 re-implemented，即使当其源代码不可用时，matlab 最初，具有方法。 例如 re-implemented kmeans 算法。-The aim of this toolbox is to present source codes in matlab
as another kind of references for helping people to understand
computer vision methods. Thus, some methods were re-implemented,
even if matlab has the methods originally, when their source
codes are not available. For example, kmeans algorithm
was re-implemented.
Howerver, notice that the built-in functions are faster than
functions created in this toolbox because the built-in functions
are mostly written in C.
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Size: 95232 |
Author: yhy |
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Description: 压缩文件里有四种图像分割的算法源代码，即阈值法、区域增长法、分裂合并法和K均值法。图片可用于检验。-The rar folder includes four source code of image segmentation,ie.thresholding, region growing, splitting and merging, kmeans. The images are able to be used for evaluation and verification.
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Size: 156672 |
Author: 杨岩 |
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Description: Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information
Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source
bestMap
hungarian
MutualInfo
===========================================
fea = rand(50,70)
gnd = [ones(10,1) ones(15,1)*2 ones(10,1)*3 ones(15,1)*4]
res = kmeans(fea,4)
res = bestMap(gnd,res)
============= evaluate AC: accuracy ==============
AC = length(find(gnd == res))/length(gnd)
============= evaluate MIhat: nomalized mutual information =================
MIhat = MutualInfo(gnd,res)
-Clustering Evaluation: Evaluate the clustering result by accuracy and normalized mutual information
Deng Cai, Xiaofei He, and Jiawei Han, "Document Clustering Using Locality Preserving Indexing", in IEEE TKDE, 2005. Bibtex source
bestMap
hungarian
MutualInfo
===========================================
fea = rand(50,70)
gnd = [ones(10,1) ones(15,1)*2 ones(10,1)*3 ones(15,1)*4]
res = kmeans(fea,4)
res = bestMap(gnd,res)
============= evaluate AC: accuracy ==============
AC = length(find(gnd == res))/length(gnd)
============= evaluate MIhat: nomalized mutual information =================
MIhat = MutualInfo(gnd,res)
===========================================
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Size: 5120 |
Author: wzy |
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Description: 这个目录包含了K - means算法的代码实现。源代码可以发现在KMEANS.CPP。样本数据isfound在KM2.DAT。 KMEANS程序接受输入向量的组成和计算使用K - means算法的集群中心。输出被定向到屏幕上。
-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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Size: 29696 |
Author: 秋西西 |
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Description: 一些图像分割算法，包括快速K-均(kmeans)聚类图像分割算法源代码-The number of image segmentation algorithms, including fast K-(kmeans) clustering segmentation algorithm source code
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Size: 2048 |
Author: |
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Description: 算法思想：提取文档的TF/IDF权重，然后用余弦定理计算两个多维向量的距离来计算两篇文档的相似度，用标准的k-means算法就可以实现文本聚类。源码为java实现(Algorithm idea: extract the TF/IDF weight of the document, then calculate the distance between two multidimensional vectors by cosine theorem, calculate the similarity of the two documents, and achieve the text clustering with the standard k-means algorithm. Source code for Java implementation)
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Size: 15360 |
Author: startrek
|
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Description: source code of kmeans clustering in matlab
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Size: 34816 |
Author: lion90 |
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Description: 利用K均值聚类对鸢尾花样本进行聚类的matlab程序，包含源代码、样本数据、聚类结果(The matlab program of clustering iris samples by K-means clustering, including source code, sample data and clustering results)
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Size: 28672 |
Author: 麻衣蚂蚁 |
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