搜索资源列表
k_means
- 分类聚合算法k-means的实现,用matlab-polymerization classification algorithm k-means the realization of using Matlab
kmeansjulei
- 这是用VC++编写的K_means 聚类算法的程序，详细的运行说明在文件夹的文本说明里！-This is the preparation of the VC K_means clustering algorithm procedures, a detailed statement of the operation folder notes to the text!
image_mva_0
- 一个利用Matlab实现PCA（主成分分析），k_means图像分割很好的例子。-using Matlab a PCA (Principal Component Analysis), k_means image segmentation good example.
my_kmeans
- 模式识别k_means聚类算法。-kmeans clutering algorithm for Pattern Recognition
iris
- 适合用来做K_Means 和K_NN的数据，一共150组，分成3个簇。
K_MEANS
- This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers u
K_Means(java)
- 聚类算法（java）语言实现，大家有问题的话可以联系我，一起讨论啊，
K_Means
- K_Means聚类算法matlab实现，包含三个子函数，可用在图像处理中-K_Means clustering algorithm matlab realize, including three sub-functions that can be used in image processing
k_means
- 采用matlab实现K_means聚类算法，可用于图像分类等-Using matlab realize K_means clustering algorithm, can be used for image classification
K_means
- K均值算法，有测试程序和测试数据。function [out1,out2] = k_means(X,w)-K-means algorithm, test procedures and test data.
k_means
- k_means,,根据网络上的里程修改的，一个非常清晰的k_means运行历程，每一步注释都很清晰。-k_means ,, modified according to mileage on the network, with a very clear k_means run course, every step of the comments are very clear.
k_means
- 模式识别与人工智能中k均值算法的matlab源码-Compute k means for the data using the k_means algorithm
k_means
- 用matlab实现的简单的k_means聚类算法，简单有效，已测试通过-K_means with a simple clustering algorithm matlab realized, simple and effective, have been tested
K_means
- 本例程是基于K_means算法，以图像的灰度为特征参数，对图像进行灰度分割的经典程序。其中有源代码和运行文件，还有效果图。-This routine is K_means based algorithm is proposed to image the gray level as the characteristic parameter, to gray-scale image segmentation of the classic program.Including source code a
K_Means-algorithm
- very useful matlab code for K_Means Algorithm it can be use after change the given input data or use the original one that i provided with the code you can start by run K_Means_Clustering.m
K_means
- 采用K_means聚类，得到五个核，然后五个用data套进去，可以得到5个矩阵。这个五个矩阵就是根据聚类获得的。成功，且有效。首先运行K_means.m，然后再运行yanshi.m。可以得到效果图。data数据也一并给出-K_means use clustering to obtain nuclear five, then five with data sets in, you can get 5 matrix. This matrix is based on fiv
K_Means
- K-Means是聚类算法中的一种，其中K表示类别数，Means表示均值。顾名思义K-Means是一种通过均值对数据点进行聚类的算法。K-Means算法通过预先设定的K值及每个类别的初始质心对相似的数据点进行划分。并通过划分后的均值迭代优化获得最优的聚类结果。(K-Means is one of the clustering algorithms, in which K represents the number of classes, and Means means the mean. As t
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)
K_means
- function varargout = K_means(varargin) % K_MEANS M-file for K_means.fig % Begin initialization code - DO NOT EDIT gui_Singleton = 1; gui_State = struct('gui_Name', mfilename, ... 'gui_Singleton', gui_Singleton, ...
k_means均值和GMM聚类算法
- k_means均值和GMM聚类算法对共享单车使用情况的分析