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[Other resourceIRIS数据

Description: IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
Platform: | Size: 4033 | Author: 王超 | Hits:

[AI-NN-PRIRIS数据

Description: IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
Platform: | Size: 4096 | Author: 王超 | Hits:

[matlabISODATA.Clustering

Description: ISODATA聚类实验 模式识别课程实验所用的源程序-ISODATA clustering pattern recognition experimental courses used in the experimental program
Platform: | Size: 7168 | Author: 王旺 | Hits:

[Mathimatics-Numerical algorithmscindy

Description: 用java实现的一种聚类方法, 应用了iris这个非常出名的数据 和glass这个非常出名的数据,很不错的,值得大家看看。-Using java realize a clustering method, applied to this very well-known iris data and the glass of this very well-known data, it is good, it is worth to see everyone.
Platform: | Size: 5120 | Author: wang | Hits:

[AI-NN-PRisodata

Description: C++实现isodata聚类算法,基于IRIS数据,-C++ Achieve ISODATA clustering algorithm, based on IRIS data,
Platform: | Size: 385024 | Author: 秦晔 | Hits:

[matlabGA_FCM

Description: 基于遗产算法的FCM算法,且对iris标准数据集聚类,适用初学者。-Algorithm based on the heritage of the FCM algorithm, and clustering of the iris standard data categories, the application of beginners.
Platform: | Size: 4096 | Author: 王庆飞 | Hits:

[matlabKMEANS

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 | Hits:

[AI-NN-PRmoshishibie

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.
Platform: | Size: 1024 | Author: jack | Hits:

[matlabCluster

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.
Platform: | Size: 3072 | Author: liz | Hits:

[matlabC-means

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.
Platform: | Size: 3072 | Author: liz | Hits:

[matlabsubtractive

Description: subtractive clustering
Platform: | Size: 1024 | Author: ruba | Hits:

[source in ebook1

Description: Iris segmentation using fuzzy clustering and DTCWT
Platform: | Size: 113664 | Author: mandakini | Hits:

[matlabirisfcm

Description: This illustrates how to use Fuzzy C-Means clustering for Iris dataset.
Platform: | Size: 2048 | Author: manoj | Hits:

[Mathimatics-Numerical algorithmsisodata

Description: ISODATA聚类算法,内附详细注解,使用了Iris数据集。ISODATA是一种常用的聚类算法之一。-ISODATA clustering algorithm, containing detailed notes, using the Iris data set. ISODATA clustering algorithm is a common one.
Platform: | Size: 3072 | Author: xiaocai | Hits:

[JSP/JavaJMinHEP-1.0.tar

Description: clustering iris data java
Platform: | Size: 1590272 | Author: aymen | Hits:

[matlabclustering-iris

Description:
Platform: | Size: 3072 | Author: prad | Hits:

[AI-NN-PRk-means-and-cure-in-Iris-Data-Set

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 | Hits:

[Otheriris

Description: 用自组织特征映射神经网络对Iris数据集进行分类,我用神经网络工具箱编写了个简单的程序,实现iris的分类。-Using self-organizing feature map neural network examples of clustering Iris data set classification, I use neural network toolbox to write a simple program, realize the classification of Iris.
Platform: | Size: 3072 | Author: sxj | Hits:

[matlabfcm-test

Description: 模糊聚类iris标准数据测试。。。采用fcm方法。-Fuzzy clustering iris standard test data
Platform: | Size: 2048 | Author: liu | Hits:

[DataMiningk-means-for-iris

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 | Hits:
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