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基于matlab的K均值聚类程序
- 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
k-means-iris
- 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
Kmeans_done
- kmeans 對IRIS 分群 很傳統的題目-kmeans grouping of iris
kmeans
- 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.
KMeans
- 采用C++实现Kmeans聚类算法，距离的计算采用的是欧氏距离。数据集是weka自带的data里面的iris.arff数据集。假设样本所有属性都是数值属性，不考虑分类属性。-C++ implementation Kmeans classic clustering algorithm, the distance is calculated using the Euclidean distance. Data set is data that comes inside weka iris.arff
Kmeans
- 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.
kMeans
- k-means算法,内带iris数据作为例子-k-means algorithm, within with the iris data as an example
kmeans
- 基于mailab iris数据集的kmeans聚类，适于matlab及聚类分析的入门学习-failed to translate
TrabalhoPDI01
- kmeans dataset iris.dat
myRBF_2
- 自己编写的RBF神经网络,采用的数据集是iris. 先使用KMeans找中心点，再训练RBF网络-I have written RBF neural network, using the data set is iris. First using KMeans find the center, retraining RBF network
Iris_s1
- Kmeans+PSO算法，处理IRIS数据集，输出fitness function的值，和粒子变化的动态图像,亲测可行。-Kmeans based PSO algorithms, dealing with classic dataset iris. the output is the value of fitness function, and the dynamic plot of the change of particle position
kmeansyy
- 对Iris数据集的Kmeans算法分类，matlab程序-Iris dataset of Kmeans classification algorithm, matlab procedures
EliKMeans.tar
- kmeans artificial inteligence able to create clusters data received files of iris data base (flowers)-kmeans artificial inteligence able to create clusters data received files of iris data base (flowers)
kmeans
- 用natlab将iris数据聚类为三类。然后将结果与虹膜数据集中的正确结果进行比较，并计算分类精度(You are offered the iris dataset of the UCI dataset. Cluster the data to three categories. Then compare the result with the correct one in iris dataset and compute the classification accuracy.)
k-means算法的Matlab实现以及Iris数据集
- k-means算法实现以及Iris数据集(Implementation of K-means algorithm and Iris data set)
k-means-for-iris
- 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)
k_means
- 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.)