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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
xghlcpfa
- 我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 eAbXBf 算法中的k均值聚类算法，模式识别大作业，在MATLAB CXDMjes环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is eAbXBf classification algorithm in the k-means clustering algorithm, pattern recognition large
xuioqctz
- 我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 lTDWQv 算法中的k均值聚类算法，模式识别大作业，在MATLAB tTTxaiu环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is lTDWQv classification algorithm in the k-means clustering algorithm, pattern recognition large
xuxbmcdd
- 我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 RbVrRz 算法中的k均值聚类算法，模式识别大作业，在MATLAB noTNLZI环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is RbVrRz classification algorithm in the k-means clustering algorithm, pattern recognition large
xy926378
- 我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 evnESZ 算法中的k均值聚类算法，模式识别大作业，在MATLAB vjlXBLm环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is evnESZ classification algorithm in the k-means clustering algorithm, pattern recognition large
xy929849
- 我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 WDEfJQ 算法中的k均值聚类算法，模式识别大作业，在MATLAB ththHYo环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is WDEfJQ classification algorithm in the k-means clustering algorithm, pattern recognition large
xy944374
- 我编写的MATLAB程序，刚开始学些数据挖掘的只是，是分类的 appVlG 算法中的k均值聚类算法，模式识别大作业，在MATLAB nnVjqZo环境下，性能优良。-I write MATLAB program, just started to learn some data mining only, is appVlG classification algorithm in the k-means clustering algorithm, pattern recognition large
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 algorithm, pattern recognition large
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 algorithm, pattern recognition large
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 algorithm, pattern recognition large
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 algorithm, pattern recognition large
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 algorithm, pattern recognition la
ISODATA MATLAB编码
- 迭代自组织数据分析算法（Iterative Self-Organizing Data Analysis Techniques Algorithm，ISODATA）与K均值算法有相似之处，即聚类中心的位置同样是通过样本均值的迭代运算决定。不同的是，这种算法在运算的过程中聚类中心数目不是固定不变的，而是反复进行修改，以得到较合理的类别数K，这种修改通过模式类的合并和分裂来实现，合并和分裂在一组预先选定的参数指导下进行。
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 receiving QAM signals is compared at