搜索资源列表
kmeans
- 改进的k-means方法，对聚类的实例节能型加权 少数类多数类的函数-Improved k-means method for clustering a small number of examples of energy-saving type of weighted majority of types of function
tif
- k-means算法代码 matlab的程序，具体使用说明在函数里面 ：） 附UCI的测试集图片，可以用作VQ的实验-k-means algorithm matlab code of procedure, specific for use inside the function:)
k-means
- 名为k-means的MATLAB函数，实现k均值算法。输入矩阵X,w，输出最终估计值和聚类的标识数字。-Called the k-means of the MATLAB function, to achieve k means algorithm. Input matrix X, w, the output value of the final estimates and cluster identification number.
k-means
- 简单的k均值聚类函数，用于求算重心的函数，算法高效快速-Simple k-means clustering function for calculating the center of gravity function, the algorithm is fast and efficient
k-means-and-Perceptron
- 该程序为matlab程序，共有三个文件，dataC.m为程序入口，实现功能对50组数据用k均值算法进行分类，再对40组数据用感知器算法训练，然后用训练得到的判别函数对剩下10组数据分类，最后与原始分类做差比较，若分类无误，则全显示为0.-Matlab program on the program, a total of three files dataC.m for program entry features 50 sets of data with k-means algorithm to
k-means
- 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 partition clustering algorithm, due to the simplicity and efficiency so that he became the most widely used i
k-means-clustering-algorithm
- k均值算法使用的聚类准则函数的误差平方和准则，通过反复迭代优化聚类结果，使所有样本到各自所属类别的中心的距离平方和达到最小。-k-means clustering algorithm uses squared error criterion function and criteria through iterative optimization clustering result, all the samples to the respective classes of the center s
k-means-
- 一种基于颜色的分割，使用聚类算法中的k均值算法。本例主要用到的函数是色彩空间转换函数makecform和applycform，对于k均值聚类使用kmeans函数。-Based on color segmentation, using clustering algorithm k-means algorithm. In this case the main function used is the color space conversion function makecform and appl
New-Revised-k-means
- New revised k-means聚类算法，为matlab函数，需要调用才能使用-New revised k-means clustering algorithm for matlab function, you need to call in order to use
k-means
- 聚类算法 k-means 数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则 该代码针对图像的分类-Some distance k-means clustering algorithm to the data points as a prototype optimization objective function, using the function for extreme methods to adjust the rules to get the cod
k-means-original
- k-menas算法是最简单的聚类算法，算法内详细介绍了各个函数和功能，对初学者很有借鉴意义-k-means algorithm is one of the most simple clustering algorithm, there are different form, this is one of them, a reference for beginners
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
k-means-picture
- k-means图像分割，数据仓库与数据挖掘大作业，不同于其他k-means图像分割，k-means算法为自己编辑，而非调用matlab k-means函数，刚出成绩上传的-k-means
k-means-analysis
- k-means解决聚类问题，以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。-k-means solves the problem of clustering, taking the Euclidean distance as the similarity measure, which is the optimal classification of the V of the J of the initial c
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-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 him become the most widely used
k-means
- 用matlab实现k均值算法，不用库函数(Implementation of k mean algorithm)
kmeans
- 基于matlab语言编译的用于实现聚类的k-means函数(k-means function compiled by MATLAB language for clustering)
kmeansimg
- k-means图像聚类，可用灰度图像处理(k-means image clustering)
k-means
- k-means算法是硬聚类算法，是典型的基于原型的目标函数聚类方法的代表，它是数据点到原型的某种距离作为优化的目标函数，利用函数求极值的方法得到迭代运算的调整规则。k-means算法以欧式距离作为相似度测度，它是求对应某一初始聚类中心向量V最优分类，使得评价指标J最小。算法采用误差平方和准则函数作为聚类准则函数。(The k-means algorithm is a hard clustering algorithm, which is representative of the prototy