Search - kmeans matlab

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[matlab] dynamic_kmeans DL : 0: Date : Size : 1kb User : yinweidong
[Mathimatics-Numerical algorithms] kmeansNetlab DL : 0: KMEANS Trains a k means cluster model.CENTRES = KMEANS(CENTRES, DATA, OPTIONS) uses the batch K-means algorithm to set the centres of a cluster model. The matrix DATA represents the data which is being clustered, with each row corresponding to a vector. The sum of squares error function is used. The point at which a local minimum is achieved is returned as CENTRES.
Date : Size : 2kb User : 西晃云
[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 : Size : 3kb User : 快快
[AI-NN-PR] fastkmeans DL : 0: fast implementation of Kmeans clustering algorithm
Date : Size : 3kb User : jwj
[matlab] kmeansimage DL : 0: 这是一个用Kmean处理图像的matlab文件-This is a deal with Kmean document images matlab
Date : Size : 1kb User : bohao
[matlab] FuzzyClusteringToolbox DL : 0: 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four clustering algorithm source code and sample code, the ultimate goal of this process is the formation of a set of criteria for clustering, scalable tool. Including the contents of 1. Clustering Algorithm: Kmeans and Kmedoid algorithm, FCMclust, GKclust, GGclust algorithm 2. Assess the classification of a prototype: The procedure can be two-dimensional images to map out the results of clustering 3. Verify: Program to provide every algorithm authentication mechanism, each clustering algorithm statistics Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII) of several indicators.
Date : Size : 2.04mb User : 王梦萍
[matlab] K-Means DL : 0: 较简单的KMeans聚类算法实现，编程语言matlab-Clustering KMeans relatively simple algorithm, programming language matlab
Date : Size : 4kb User : tzx
[matlab] fcm DL : 0: 一个关于FUZZY kmeans算法的matlab源程序有带聚类分析结果-Kmeans algorithm on matlab source are the result of cluster analysis with
Date : Size : 2kb User : 张政
[matlab] codebook DL : 0: a matlab program that deals with k-means algorithm to cluster the data points and build codebook.-a matlab program that deals with k-means algorithm to cluster the data points and build codebook.
Date : Size : 1.45mb User : switspk
[matlab] mpi_kmeans-1.5 DL : 0: Super-fast kmeans code in C++/matlab/python
Date : Size : 2.41mb User : Olivier Poto
[matlab] cluster DL : 0: clustering ---uses a kmeans method-clustering---uses a kmeans method
Date : Size : 4kb User : ankit
[Mathimatics-Numerical algorithms] spectralclustering-1.0 DL : 0: 一款功能强大的分类算法软件包，在matlab环境下使用。详见如下网站 http://mloss.org/software/view/133/-A MATLAB spectral clustering package to deal with large data sets. Our tool can handle large data sets (200,000 RCV1 data) on a 4GB memory general machine. Spectral clustering algorithm has been shown to be more effective in finding clusters than some traditional algorithms such as kmeans. To perform clustering on large data sets, we implement various ways of approximating the dense similarity matrix, including nearest neighbors and the Nystrom method.
Date : Size : 15.07mb User : ZC
[AI-NN-PR] kmeanssource DL : 0: kmeans程序，用以各种方面聚类分析，诸如入侵检测和图像等。-kmeans method，used in many fields， such as intrusion detection, imag segmentation and etc.
Date : Size : 1kb User : bzhen
[matlab] text_seg DL : 0: this a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.-this is a code to segment the color texture using Gabor filter. It uses the initial segmentation using kmeans clustering.
Date : Size : 82kb User : sidharth
[matlab] FuzzyClusteringToolbox DL : 0: 四种聚类算法源代码及示例代码,本程序的最终目的是形成一套标准的用于聚类、可扩展的工具。包括的内容有1. 聚类算法：Kmeans和Kmedoid算法、FCMclust, GKclust, GGclust算法 2. 评估分类原型：程序可以在二维图像上绘制出聚类的结果 3. 验证：程序给每一个算法提供验证机制，每个聚类算法会统计Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni s Index (XB), Dunn s Index (DI) and Alternative Dunn Index (DII)几种衡量指标。-Four kinds of clustering algorithms source code and sample code, the ultimate goal of this program is to form a set of standards for clustering, scalable tools. Including the contents of a. Clustering algorithm: Kmeans and Kmedoid algorithms, FCMclust, GKclust, GGclust algorithm 2. Assessment classified prototypes: programs can be plotted in two-dimensional image, the results of clustering 3. Verify: Program to provide an algorithm to each authentication mechanism, each clustering algorithm will calculate Partition Coefficient (PC), Classification Entropy (CE), Partition Index (SC), Separation Index (S), Xie and Beni' s Index (XB), Dunn' s Index (DI) and Alternative Dunn Index (DII) of several metrics.
Date : Size : 2.04mb User : conroy cheung
[matlab] 192010k-average DL : 0: kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（Active-learning Semi-supervised Clustering Intrusion Detection），-kmeans clustering algorithm Algorithm was simulated by KDD 99 datasets， which the experimental results demonstrate that ASCID algorithm can improve the detection rates and low the false positive rates of the algorithm, and confirm the feasibility and validity of the algorithm.
Date : Size : 49kb User : huhan
[matlab] Kmeans DL : 0: k-means聚类算法在MATLAB的实现-k-means clustering algorithm in MATLAB implementation of
Date : Size : 1kb User : 王辉
[Mathimatics-Numerical algorithms] kmeans DL : 0: 基本粒子群优化算法（PSO）求解优化问题-Elementary particle swarm optimization (PSO) for solving optimization problems
Date : Size : 6kb User : 孟艳
[matlab] kmeans DL : 0: K-means is a clustering algorithm In the beginning we determine number of cluster K and we assume the centroid or center of these clusters. We can take any random objects as the initial centroids or the first K objects in sequence can also serve as the initial centroids. There are two function for that the kMeanCluster and distMatrix
Date : Size : 2kb User : Luis
[Mathimatics-Numerical algorithms] Matlab-kmeans DL : 0: k-means clustering algorithm using MATLAB
Date : Size : 1kb User : mrohaizat

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