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Description: 对iris数据进行聚类分析的java源程序
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Size: 2520 |
Author: guifeng2002 |
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Description: 聚类分析isodata算法的C程序，实现对iris数据集分类的功能-ISODATA cluster analysis algorithm C procedures, to achieve the classification of iris data set features
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Size: 3072 |
Author: 王璐瑶 |
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Description: IRIS数据 供大家分析参考 此数据可以用于聚类分析-U.S. analysis of IRIS data for the reference of this data can be used to cluster analysis
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Size: 8192 |
Author: zhangpeng |
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Description: 对iris数据进行聚类分析的java源程序-Iris data of cluster analysis of java source code
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Size: 2048 |
Author: guifeng2002 |
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Description: 先用C-均值聚类算法程序，并用下列数据进行聚类分析。在确认编程正确后，采用蔡云龙书的附录B中表1的Iris数据进行聚类。然后使用近邻法的快速算法找出待分样本X（设X样本的4个分量x1=x2=x3=x4=6；子集数l=3）的最近邻节点和3-近邻节点及X与它们之间的距离。-First C-means clustering algorithm procedures and with the following data for cluster analysis. After confirming the correct programming, using the book蔡云龙Table 1 in Appendix B of the Iris data clustering. And the use of a close neighbor of law to be fast algorithm to find sub-samples of X (for X samples four components x1 = x2 = x3 = x4 = 6 subset of the number of l = 3) of the nearest neighbor nodes and 3- neighbor nodes and X and the distance between them.
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Size: 1024 |
Author: jack |
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Description: 使用分解聚类算法在IRIS数据上进行聚类分析，IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成，模式类别数为3，特征维数是4，每类各有50个模式样本，总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.
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Size: 3072 |
Author: liz |
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Description: 使用c-均值聚类算法在IRIS数据上进行聚类分析，随机选择三个初始聚类中心，经过多次迭代，最终将150个样本分为三类。-Use c-means clustering algorithm in the IRIS data on the cluster analysis, three randomly chosen initial cluster centers, through a series of iterative, 150 samples will eventually fall into three categories.
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Size: 3072 |
Author: liz |
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Description: matlab写的自己设计的自适应网络做iris聚类分析并分类的实验，算法不是很稳定，有一定参考价值-matlab write ,adaptive cluster analysis and classification of iris experiment, the algorithm is not very stable and have a certain reference value
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Size: 1024 |
Author: legendsino |
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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)
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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
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Size: 8192 |
Author: hannychen |
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Description: matlab聚类分析方法，利用c均值方法对IRIS数据进行聚类分析-matlab cluster analysis methods using c mean clustering analysis of IRIS data
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Size: 5120 |
Author: 梅凯珍 |
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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.
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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.
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Size: 3072 |
Author: 李海 |
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Description: 使用c－均值聚类算法在IRIS数据上进行聚类分析-C-means clustering algorithm using IRIS data in the cluster analysis
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Size: 968704 |
Author: 林帅 |
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Description: 基本的细菌觅食聚类程序，测试数据集为IRIS数据集。-The basic bacterial foraging clustering procedure, the test data set for the IRIS data set.
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Size: 3072 |
Author: skin |
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Description: 使用k-means、k-media、层次聚类方法，并通过iris数据集测试-Using k-means, k-media, hierarchical clustering method, and through the iris data set test
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Size: 3072 |
Author: |
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Description: 对iris数据进行聚类，能够得到每类的具体数据信息-Clustering of iris data, can be specific for each type of data
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Size: 3072 |
Author: 高东旭 |
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Description: AP聚类算法的C++代码实现，其中数据是文本读入iris数据，P值选取欧式矩阵最小值。显示结果为聚类后结果-AP clustering algorithm C++ code, in which data is read into the text iris data, P values selected European matrix minimum. Showing results clustering results after
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Size: 3072 |
Author: 孙贵宾 |
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Description: 运用k-means算法对IRIS数据集进行聚类分析-K-means algorithm is appliled to do cluster analysis for IRIS dataset.
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Size: 9216 |
Author: 李玉红 |
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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.)
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Size: 1024 |
Author: Tcareer |
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