Description: 模式识别分类器的设计，此为K均值法源码，经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the K-means, after debugging through. Data used as the standard IRIS. Platform: |
Size: 1024 |
Author:leestar |
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Description: 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图-Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan Platform: |
Size: 32768 |
Author:wanghuali |
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Description: K-Means.java K-means分群法(组数数据皆不固定，以读入档案， iris.txt)-K-Means.java K-means grouping method (group, none fixed the number of data in order to read the file, iris.txt) Platform: |
Size: 6144 |
Author:林好 |
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Description: K-Means.java K-means分群法(組數資料皆不固定，開小視窗選檔案:A or B or iris，10 runs + output至Excel)-K-Means.java K-means grouping method (the number of data groups, none is fixed, to open a small window, select the file: A or B or iris, 10 runs+ output to Excel) Platform: |
Size: 7168 |
Author:林好 |
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Description: 针对著名的UCI机器学习数据库中的iris data的kmeans聚类分析程序，具有代表性-For the well-known UCI machine learning repository of the iris data of kmeans cluster analysis procedure, a representative Platform: |
Size: 8192 |
Author:hannychen |
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Description: k-means及Isodata 聚类算法的实现，用c++代码实现，输入数据为Iris，输出分类类结果。
包含Iris数据及所有头文件和.cpp文件。-Isodata k-means clustering algorithm and implementation, using c++ code implement,. the input data is the Iris, the output classification class results.
contains Iris data andall the header files and. Cpp file.) Platform: |
Size: 82944 |
Author:姜丽 |
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Description: 本算法在vc++6.0中进行实验。分别就分解聚类和C-均值聚类两种方法在IRIS数据集上进行操作。分类前先将数据集中的样本顺序打乱形成混合数据。分解聚类中，采用前100个样本用对分法编制程序将数据分为两类。C-均值聚类采用全部的150个样本，将类别参数K设为3，将数据分为三类。-The algorithm in vc++6.0 in the experiment. Separate cluster and decomposition of two C-means clustering methods operate on the IRIS data set. Classification of samples before the first data set in order disrupt the formation of mixed data. Decomposition clustering using the top 100 on the sub-samples prepared with the program data into two categories. C-means clustering using all 150 samples, the type of parameter K set to 3, the data into three categories. Platform: |
Size: 2048 |
Author:万鹏程 |
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Description: 使用K－均值聚类算法在IRIS数据上进行聚类分析.-K-means clustering algorithm using IRIS data in the cluster analysis. Platform: |
Size: 3072 |
Author:李海 |
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Description: 聚类算法实验,采用两种不同类型的聚类算法:基于划分的聚类方法k-means和基于层次的聚类方法CURE，采用的数据集是：Iris Data Set，数据集中共包含150组数据信息。
材料中有详细的说明文档，具体介绍了算法实现的细节，很容易理解-Clustering algorithm experiment, using two different types of clustering algorithm: Partition-based clustering method k-means and hierarchical clustering method based on CURE, the use of the data set is: Iris Data Set, the data set contains a total of 150 sets of data information .
Materials are described in detail in the documentation, the specific details described algorithm, it is easy to understand Platform: |
Size: 189440 |
Author:牛魔王 |
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Description: 用matlab编写的K均值算法，测试数据为Iris数据，经调试运行良好！实验结果稳定！-K-means algorithm using matlab, test data for the Iris data, through debugging and running! Stability of the experimental results. Platform: |
Size: 7168 |
Author:heart |
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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 use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results Platform: |
Size: 28672 |
Author:liming |
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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) Platform: |
Size: 28672 |
Author:麻衣蚂蚁 |
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Description: 利用K均值算法对Iris数据集进行聚类，实现Iris数据集的无监督学习。(K-means algorithm is used to cluster iris data set to realize unsupervised learning.) Platform: |
Size: 1024 |
Author:Tcareer |
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