Search - k-means clustering in matlab

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[matlab] K-Mean1 DL : 0: 编写K-均值聚类算法程序，对下图所示数据进行聚类分析(选k=2)-prepare K-means clustering algorithm, the data shown in the chart below cluster analysis (EAC k = 2)
Date : 2025-07-02 Size : 119kb User :
[Other] kmean DL : 1: 这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
Date : 2025-07-02 Size : 35kb User : fuali
[matlab] NetCreate DL : 1: 现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡-The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of
Date : 2025-07-02 Size : 2kb User : ben
[Special Effects] sambhare DL : 0: matlab编写的纹理图像分割 gussian滤波后k-means聚类并将不同区域用线条表示出来除m程序还包括测试图片、pdf文件、ppt文件、doc文档-matlab prepared texture image segmentation gussian filtered k-means clustering in different regions and lines that come out with the exception of m program also includes test pictures, pdf file, ppt file, doc file
Date : 2025-07-02 Size : 1.96mb User : 程雪娇
[AI-NN-PR] k-means DL : 0: 空间数据分析中最常用的是聚类分析,而K-MEANS算法是聚类分析中常用的,其主要思想是在给定的聚类数目下对多维(我做的是三维空间点)向量进行聚类,-Spatial data analysis is the most commonly used cluster analysis, while the K-MEANS algorithm is commonly used in cluster analysis, the main idea is to set the number of under the multi-dimensional clustering (I make the three-dimensional space-point) vector cluster,
Date : 2025-07-02 Size : 6kb User : tangkezong
[AI-NN-PR] matlabk-means DL : 0: 此程序用与图象图形的模式识别,在VC环境下实现matlab的聚类算法-This procedure with graphics and image pattern recognition, in the VC environment realize the clustering algorithm matlab
Date : 2025-07-02 Size : 4.45mb User : 朱舸
[Mathimatics-Numerical algorithms] KMEANS DL : 0: K-MEANS算法输入：聚类个数k，以及包含 n个数据对象的数据库。输出：满足方差最小标准的k个聚类。处理流程：（1）从 n个数据对象任意选择 k 个对象作为初始聚类中心；（2）循环（3）到（4）直到每个聚类不再发生变化为止（3）根据每个聚类对象的均值（中心对象），计算每个对象与这些中心对象的距离；并根据最小距离重新对相应对象进行划分；（4）重新计算每个（有变化）聚类的均值（中心对象）-K-MEANS algorithm Input: cluster number k, and contains n data object database. Output: the minimum standards to meet the variance k-clustering. Deal flow: (1) a data object from the n choose k object as initial cluster centers (2) cycle (3) to (4) until a change in each cluster is no longer so far (3) according to each Clustering objects mean (central object), calculated for each object with these centers to object distance and in accordance with a minimum distance between a re-division of the corresponding object (4) re-calculated for each (change) clustering of the mean (central object )
Date : 2025-07-02 Size : 3kb User : 快快
[Special Effects] kmeans1 DL : 0: k-均值聚类算法实现灰度图像分割，输入图像矩阵和聚类中心个数，返回为最终的聚类中心和图像中每个像素所属类的编号（对应于图像矩阵）-k-means clustering algorithm to achieve gray-scale image segmentation, the input image matrix and the number of cluster centers, the return for the final image of the cluster centers and their respective categories in each pixel number (corresponding to the image matrix)
Date : 2025-07-02 Size : 1kb User : cc
[Graph Recognize] Kaverage DL : 0: 本文采用模糊K聚类算法对图片进行分类，并输出相应的分类结果！采用matlab环境进行仿真。-In this paper, K fuzzy clustering algorithm to classify on the picture, and output the corresponding classification results! Using matlab simulation environment.
Date : 2025-07-02 Size : 3kb User : 张辉
[Mathimatics-Numerical algorithms] breastcancerju DL : 1: K-MEANS聚类算法，以及PSO和QPSO算法改进K-MEANS算法，breastcancer数据验证了该分类模型的有效性-K-MEANS clustering algorithm, and the PSO algorithm and QPSO to improve K-MEANS algorithm, breastcancer data verified the validity of the classification model
Date : 2025-07-02 Size : 42kb User : 李慧
[AI-NN-PR] k-centers DL : 0: 不同于k均值聚类的k中心聚类，2007年SCIENCE文章Clustering by Passing Messages Between Data Points 中的方法-Unlike k-means clustering of the k cluster centers, in 2007 SCIENCE article, Clustering by Passing Messages Between Data Points of the Method
Date : 2025-07-02 Size : 16kb User : puguji
[Graph program] kmeansClusters DL : 0: Image segmentation k mean clustering
Date : 2025-07-02 Size : 2kb User : truong minh sang
[Special Effects] kmeans-image-segmentation DL : 0: K-meansK均值聚类在无监督的情况下选择图像特征的算法-K-meansK means clustering in the case of unsupervised image feature selection algorithm
Date : 2025-07-02 Size : 45kb User : renli
[matlab] kmean DL : 0: 包括K-均值聚类算法的思想介绍，kmeans的MATLAB代码，c语言代码、c++代码。-Including the K-means clustering algorithm introduced the idea, kmeans of MATLAB code, c language code, c++ code.
Date : 2025-07-02 Size : 10kb User : 刘斌
[Special Effects] Kmeans_grayimage DL : 0: 简单的灰度图像的K均值聚类分割，Matlab实现-gray image segmentation using K-means clustering by matlab.
Date : 2025-07-02 Size : 1kb User : 王成
[matlab] kmean DL : 0: k mean clustering in matlab
Date : 2025-07-02 Size : 1kb User : ruba
[Other] Salama DL : 0: 改进的Salama网络拓扑随机生成算法通用Matlab程序，在随机抛撒节点的时候使用了K均值聚类，网络节点分布均匀且疏密得当，边的分布也比较均衡。-Improved algorithm for randomly generated network topology Salama General Matlab program, when the nodes in the random throw using K means clustering, the network node density distribution and appropriate, a more balanced distribution of the edge.
Date : 2025-07-02 Size : 5kb User : 成龙
[matlab] pso-clustering DL : 0: 基于粒子群的改进K均值聚类算法源代码。适用于MATLAB7.1。-Improved PSO-based K means clustering algorithm source code. For MATLAB7.1.
Date : 2025-07-02 Size : 2kb User : hsj
[matlab] K-Means-Clustering-and-PCA DL : 0: 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 part, you will use the principal component analysis method PCA to realize the low dimensional representation of the face image.
Date : 2025-07-02 Size : 10.98mb User : pudnkobe
[matlab] K-means DL : 0: K-means聚类算法的matlab实现(k-means clustering is a method of vector quantization, originally from signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into Voronoi cells.)
Date : 2025-07-02 Size : 1kb User : invoker`Z

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