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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
- 用matlab实现的聚类,效果很好,里面有部分数据,点击可以直接运行-Cluster with matlab to achieve good results, which are part of the data, click directly run
K-means
- K-均值聚类算法程序,数据挖掘中比较经典的一种聚类算法-K-means clustering algorithm procedures
K-means
- 一种K-均值算法附有测试数据,希望给学习聚类的提供一点帮助-One kind of K-means algorithm with test data, clustering offers hope to learn a little help
k-means
- K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是:以空间中k个点为中心进行聚类,对最靠近他们的对象归类。通过迭代的方法,逐次更新各聚类中心的值,直至得到最好的聚类结果。-K-means algorithm is based on the division of the classic clustering method, is ten classic one of data mining algorithm. K-means the
K-means
- k-means算法实现,对于要聚类的数据,可以对代码进行更改,读入自己的数据-This code implentents the K-means algorithm
K-means-clustering-experiments
- k-means算法实现,数据挖掘中经常用到的聚类分析算法。是最经典的常用算法。-k-means algorithm, cluster analysis algorithm often used in data mining. Is the most classic of common algorithms.
K-means-and-Perceptron
- 该程序为matlab程序,共有三个文件,dataC.m为程序入口,实现功能对50组数据用k均值算法进行分类,再对40组数据用感知器算法训练,然后用训练得到的判别函数对剩下10组数据分类,最后与原始分类做差比较,若分类无误,则全显示为0.-Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to
K-means
- K均值算法,适合于初学者。包括matlab源代码,测试数据等。-K-means algorithm
K-means
- K均值聚类的例子程序,程序中有附带的数据-examples of k-means technology
k-means-matlab
- 实现K-Means算法,并附带有数据集,以供检验-K-Means algorithm to achieve, together with the data set for testing
k-means
- K-MEANS算法是输入聚类个数k,以及包含 n个数据对象的数据库,输出满足方差最小标准的k个聚类
K均值对iris数据集聚类
- k-means算法对irisdata数据集进行聚类(The k-means algorithm clustering the irisdata datasets)
k-means
- k均值,数据已经有了,主要用于分类,美列都是一类数据,只用了其中一部分,数据是自己编的。(K mean, data already exists, mainly for classification, the United States column is a kind of data, only a part of the data is their own series.)
k-means
- 此种k-means 算法可以快速的对随机产生的随机数据,进行分类,而且分类的效果比较好,效果直观。(This kind of k-means algorithm can quickly classify randomly generated random data and classify it, and the classification effect is better and the effect is intuitive.)
1、K-means学习
- K-means算法MATLAB仿真,利用一副图像作为数据实现K聚类算法仿真(K-means algorithm, MATLAB simulation)
K-means聚类
- K-means聚类程序,可用于聚类问题,自动产生大量数据,生成聚类图片(K-means clustering program, can be used for clustering problems, automatically generate large amounts of data, generate clustering images)
K-means
- K-means算法是硬聚类算法,是典型的基于原型的目标函数聚类方法的代表,它是数据点到原型的某种距离作为优化的目标函数,利用函数求极值的方法得到迭代运算的调整规则。K-means算法以欧式距离作为相似度测度,它是求对应某一初始聚类中心向量V最优分类,使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The K-means algorithm is a hard clustering algorithm, which is representative of the prototy
Improved K-means
- 基于数据密度自动计算最佳K聚类中心,对数据进行聚类(The best K clustering center is automatically calculated based on data density to cluster data.)
K-means聚类
- 应用K-means聚类算法,实现对iris数据集的分类(Using K-means clustering algorithm to realize the Classification of iris dataset)