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MyKmeans
- 实现聚类K均值算法: K均值算法:给定类的个数K,将n个对象分到K个类中去,使得类内对象之间的相似性最大,而类之间的相似性最小。 缺点:产生类的大小相差不会很大,对于脏数据很敏感。 改进的算法:k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用,这样的一个medoid就标识了这个类。步骤: 1,任意选取K个对象作为medoids(O1,O2,…Oi…Ok)。 以下是循环的: 2,将余下的对象分到各个类中去
K_average
- 模式识别的经典算法之一,动态聚类的k均值算法,采用matlab进行编程,并对分类进行了画图分析。-the classic pattern recognition algorithms, dynamic clustering algorithm k mean using Matlab programming, as well as classification of the class analysis.
cmeans
- 实现聚类K均值算法: K均值算法:给定类的个数K,将n个对象分到K个类中去,使得类内对象之间的相似性最大,而类之间的相似性最小。-achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n objects assigned K to 000 category, making such objects within
fk-means
- 数据挖掘中模糊k均值算法,matlab工具编写。-data mining fuzzy k-means algorithm, Matlab tool for the preparation.
K_average
- 模式识别的经典算法之一,动态聚类的k均值算法,采用matlab进行编程-One of the classic pattern recognition algorithms, dynamic clustering k-means algorithm using matlab programming
zfk_example
- 聚类分析里的k均值(kmeans)算法的matlab实现,是老师即将出的书里,我给写的例子,大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
1
- 模式识别分层聚类、k—均值算法,支持向量机、线性判别、判别代码、ppt-Pattern recognition hierarchical clustering, k-means algorithm, support vector machines, linear discriminant, discriminant code, ppt
GMM
- 高斯k均值程序算法,k-means是一种常用的聚类算法,可以实现数据的聚类。-K-means algorithm for Gaussian process, k-means clustering algorithm is a commonly used, can achieve data clustering.
KLS_RBF1
- 有归一化的基于k均值聚类和LS的matlab程序,神经网络算法-rbf based on k-means and ls,with standard
cskmeans
- K均值聚类用matlab实现源程序,可用于其他算法的结合与实现-K-means clustering using matlab
Kmeans
- K均值聚类分析的matlab算法程序,用于对一系列的数据点进行聚类分析。-K-means clustering algorithm MATLAB program.
clusteringAnalysis
- 模式识别中K均值聚类分析算法的matlab实现及注释,其中采用了误差平方和判断。-K-means clustering analysis algorithm in pattern recognition of matlab and annotation, which adopts the error sum of squares of judgment
xy951926
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 GbmWLR 算法中的k均值聚类算法,模式识别大作业,在MATLAB SxHqgPl环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is GbmWLR classification algorithm in the k-means clustering algori
xy987730
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 phRyZB 算法中的k均值聚类算法,模式识别大作业,在MATLAB PSdHOFp环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is phRyZB classification algorithm in the k-means clustering algori
xy996844
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 lJSMXj 算法中的k均值聚类算法,模式识别大作业,在MATLAB rpFmNRI环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is lJSMXj classification algorithm in the k-means clustering algori
ygeaxkeh
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 eNmEfC 算法中的k均值聚类算法,模式识别大作业,在MATLAB uusgPBU环境下,性能优良。-I write MATLAB program, just started to learn some data mining only, is eNmEfC classification algorithm in the k-means clustering algori
r_aenkqbcg
- 我编写的MATLAB程序,刚开始学些数据挖掘的只是,是分类的 bCMRJU 算法中的k均值聚类算法,模式识别大作业,在MATLAB cTQbzds环境下,性能优良。 -I write MATLAB program, just started to learn some data mining only, is bCMRJU classification algorithm in the k-means clustering alg
kmeans
- k均值聚类分割算法的matlab代码,初学者使用-k-means clusterings
Matlabalgorithmlibrary
- MATLAB算法库,包含K均值聚类-分类模型,logistics回归-用于决策,非线性拟合,回归分析模型,支持向量机SVM-用于分类决策,主成分分析PCA-用于决策,TXT格式,适用于数学建模-MATLAB algorithm library, including K-means clustering- classification model, logistics regression- for decision making, no
qam_16_kmeans
- 1. 在matlab中,对k均值聚类算法的原理进行仿真实现; 2. 在不同信噪比下,比较接收QAM信号的星座图; 3. 对接收的星座图使用K均值算法进行均衡,比较使用算法和不使用算法直接解调的误码率。(1.we simulate the principle of K means clustering algorithm in MATLAB. 2. the constellation diagram of receiv