搜索资源列表
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.
数据挖掘常用算法
- 数据挖掘常用的算法，包括id3，k均值，FCM，SVM,CART五个常用的算法，是用matlab编写的。-commonly used data mining algorithms, including id3, k mean, FCM, the SVM, CART five commonly used algorithm is the use of Matlab prepared.
matlab_coding
- matlab的源程序,没有其他目的，只希望下载k均值算法看看!-Matlab source, no other purpose only hope downloaded k means algorithm to see!
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 use of K-means clustering method to classify iris sample matlab program, the program includes source code, sample data, the classification results
K
- K均值聚类在Matlab中的代码实现，是图像分割和图像识别中常用处理操作-K-means clustering code in Matlab realize image segmentation and image recognition is commonly used in processing operations
K
- 是基于MATLAB软件编的小程序。该程序是K均值算法，应用于模式识别中-K-mean algorithm
Matlab
- 邓勇夫 基于K-均值聚类算法的数据分类方法MATLAB实现-K-means MATLAB
K-means--experiment
- 基于MATLAB的编写的K均值聚类实验多类算法，caculateCenter1.m是确定类的中心，主函数是main-Experimental multi-class algorithm based on MATLAB prepared by K-means clustering, caculateCenter1.m the center determines the class, the main function is the main
Fuzzy-k--clustering
- 模糊K均值聚类算法的matlab程序，很实用，很有针对性。-K fuzzy means clustering algorithm matlab procedures, very useful and very targeted.
K-means-clustering
- 一个关于matlab在K均值聚类方法中的应用程序包，可运行，包含一个函数文件、一个可执行文件和一个数据文件。希望有所帮助！-a code package about K-means clustering method on matlab,including one function files,a run files and one data file.it is helpful.
K-Means-Clustering-and-PCA
- 此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。 -This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
FCM(Matlab)
- FCM K均值聚类算法的matlab实现 ，-FCM matlab
RBF-k
- RBF-k均值聚类算法的matlab程序和样本数据，可用于RBF-k均值聚类算法的仿真。-RBF-k-means clustering algorithm matlab program and sample data, can be used to simulate the RBF-k-means clustering algorithm.
《MATLAB统计分析与应用》程序与数据
- 数据的导入导出，将数据写入到txt，从TXT读取数据；数据预处理，归一化处理；聚类分析，K均值聚类等(Import and export data, write data to TXT, read data from TXT, data preprocessing, normalization processing, clustering analysis, K clustering, etc.)
kdtree
- 参照统计学习（李航著）一书实现的MATLAB仿真代码，代码包含main主函数和kd搜索算法以及相应的数据输入，整个代码实现完整，可以直接运行。(Reference statistics learning (Li Hang) a book to achieve the MATLAB simulation code, the code contains the main main function and KD search algorithm, and the corresponding data
k_means
- 一般的常规的k均值聚类，源码，没有数据，随便输入一个数据体就可以(General conventional k-means clustering, source code, no data, just enter a data body can)
AP聚类
- AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。(AP clustering algorithm is a kind of clustering algorithm based on "information transfer" between data points. Unlike the k- mean algorithm or the k center point
ABC-K-means
- 基于改进人工蜂群算法的K均值聚类算法-喻金平-郑杰-梅宏标，matlab(K-means clustering algorithm based on improved artificial bee colony algorithm-Yu Jinping-Zheng Jie-Mei Hongbiao, matlab)
IABC-KMC-master
- ABC蜂群算法含有K均值聚类的改进的算法(Improvement of ABC colony algorithm with K-means clustering)
Matlab聚类分析
- 分别运用分层聚类、K均值聚类以及高斯混合模型来进行分析