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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
RBF
- 使用k均值聚类的方法生成一个rbf网络，各种参数与网络各层输出的调节非常灵活-construct a rbf neural network using k-means clustering
kmean.m
- rbf神经网络k均值聚类分析程序，时间序列预测方面应用。程序简洁易懂。-rbf neural network k-means clustering analysis procedures, time series forecasting applications. The program easier to understand.
KMkeen
- 基于人类视觉将图像分割成若干个有意义的区域是目标检测和模式识别的基础。图像分割属于图像处理中一种重要的图像分析技术。图像分割的基本方法是对灰度图像分割，处理图像的亮度分量，简单快速。本论文介绍了传统的图像分割与K-均值聚类算法分割，然后利用OpenCV函数将其实现，并介绍了OpenCV中图像分割相关的基本函数。-Based on the human visual image is segmented into several meani
kmeans
- 在图像分割中所涉及到的k均值聚类，这个方程fuction：[IDX P] = kmeans(V, k)，要求输入样本以及聚类数目，得到聚类值以及数目。-In the image segmentation involved in k-means clustering, this equation fuction: [IDX P] = kmeans (V, k), requires the input samples and the num
fuzzy-c-means-clustering
- 用于高维数据或者多维图像的模糊C均值聚类算法-Used for army fuzzy c-means clustering high-dimensional data
k-means-by-LR
- 标准的数据挖掘聚类算法 k均值聚类 k-means聚类 严格按照标准算法执行 简单高效-Standard data mining clustering algorithm k-means clustering In strict accordance with the standard algorithm is simple and efficient execution
fengeTU
- 根据图像的颜色对图像进行分割，里面有多个方法，一种是RGB色彩分割，一种是K均值聚类，还有对视频处理分割，有多个测试图-According to the color image on the image segmentation, there are multiple ways, one is RGB color segmentation, one is the K-means clustering, and video process
segmentation-of-color-images
- 首先将RGB空间的彩色图像转换到LAB空间，然后利用K-means均值聚类方法对lab空间的彩色图像进行图像分割-this method of color image segmentation isbased on K-means and the Color space conversion between RGB and Lab
Kjunzhi
- K-均值聚类算法的源文件，可以解决基本的聚类问题-K- means clustering algorithm source files, you can solve the basic problem of clustering
oriFCMimg
- 模糊C均值聚类的图像分割算法，基于标准的模糊C均值聚类的图像分割算法，可以手动调整要分类的类别，最后输入分类好的图像-Image segmentation method based on standard fuzzy C mean clustering
K-means-clustering-algorithm
- k均值聚类是最著名的划分聚类算法，由于简洁和效率使得他成为所有聚类算法中最广泛使用的。给定一个数据点集合和需要的聚类数目k，k由用户指定，k均值算法根据某个距离函数反复把数据分入k个聚类中。-K-means clustering is one of the most famous partitioning clustering algorithm, due to the simplicity and efficiency makes h
moshishibie
- 基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis,
Kmeans
- K均值聚类算法是先随机选取K个对象作为初始的聚类中心。然后计算每个对象与各个种子聚类中心之间的距离，把每个对象分配给距离它最近的聚类中心-K-means clustering algorithm is to randomly K objects as the initial cluster centers. Then calculate the distance of each object and each seed cluster
RFC
- 聚类算法：粗糙模糊均值聚类的聚类实现，并与模糊均值聚类结果作以比较-Rough fuzzy clustering matlab program
mohujvlei
- 该程序是基于MATLAB的模糊C均值聚类算法，该算法是MATLAB最基本的算法，对初学者很有用。-The program is based on MATLAB Fuzzy C-means clustering algorithm, which is the most basic of MATLAB algorithms, very useful for beginners.
Cmeans
- MATLAB对C均值聚类分析算法进行编程的源代码-MATLAB c-means clustering analysis algorithm for programming source code
K_means
- K均值聚类算法 属于模式识别的一种基本算法 在此没有与opencv关联-K-means clustering algorithm A basic pattern recognition algorithm is not associated with this opencv
K-means-Clustering
- 根据模拟数据进行K均值聚类实验，有原始数据，聚类代码和相关图片，程序可用！-Analog data according to K-means clustering experiment, the original data, clustering code and picture, the program is available!