搜索资源列表
k-meansgaijin
- 数据挖掘中的一个聚类算法k-means。-data mining clustering algorithm of a k-means.
K-Mean1
- 编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)-prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2)
k-means
- 数据挖掘中的k均值算法，应该属于聚类分析的，c语言版。
k-means
- kmeans聚类算法c版本 应用于三维数据操作
数据挖掘中K均值算法实现
- 数据挖掘中K均值算法的实现用MATLAB编写-data mining to the K-means algorithm to achieve prepared using MATLAB
kmean
- 使用k-means算法对150个数据集进行分簇。-K-means algorithm using 150 data sets to carry out sub-cluster.
MachineLearning
- 用MATLAB写的，关于数据挖掘的很多算法，如PCA,K-MEANS等，最重要的他是图形化界面-Written using MATLAB on a lot of data mining algorithms, such as PCA, K-MEANS, etc., the most important he is a graphical interface
Ckmedoids
- K-mean算法，并通过了IRIS数据的测试。-K-mean algorithm, and through the IRIS data testing.
mitmatlab
- 数据挖掘matlab源码，包含机器学习领域中经典算法如ID3,C4.5,NN,CARD,EM等.-Data Mining matlab source, including the field of classical machine learning algorithms such as ID3, C4.5, NN, CARD, EM, etc..
work
- 模式识别中的K均值算法，对数据进行归类。程序中，使用了二维数据进行分类。通过修改参数，也可以支持三维或是更高维数的分类。-the K-means algorithm for Pattern Recognition
200532590150
- 实现了二维数据的K均值算法以及ISODATA分类算法-Achieve a two-dimensional data, as well as K-means algorithm ISODATA classification algorithm
k_means
- k-means(欧氏距离)聚类算法是最基本的聚类算法，是理解和应用聚类算法的基础，通过k-means(欧氏距离)聚类算法我们才可以初步了解数据挖掘的原理。-k-means (Euclidean distance) clustering algorithm is the most basic clustering algorithm, is understanding and the basis for the application of clustering algorithm, throu
clara
- CLARA是基于k中心点的一种划分方法的实现，区别于别的划分方法，Clara是用于大规模分类运用方法的简称，可以实现对大规模数据的分类-CLARA(abbreviated from clustering large applications), is based on the k-medoid appraoch, which can be useful in clustering large data sets.
kmeans
- 数据挖掘中的K均值聚类算法的MATLAB的实现-k means clustering algorithm
knn
- k近邻问题，我自己做的，效果有保证，还有测数据-k neighbor problem, I do, the effect is guaranteed, as well as measured data
Kmeanjulei
- k均值聚类分析，比较简单，只适合学习使用个，不适合数据处理。-k-means clustering analysis, relatively simple, only suitable for learning to use one, not suitable for data processing.
20170110_KMeans
- 在花卉数据集上，用Java实现的简单K-means算法。(In flower dataset, a simple K-means algorithm is implemented by Java.)
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)
can_use_kmeans
- K-means对iris数据集进行分类，可画出3维分类图(K-means to classify iris data set)