Search - kmeans cluster matlab

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[AI-NN-PR] K-Means动态聚类算法源程序 DL : 0: This directory contains code implementing the K-means algorithm. Source codemay be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANSprogram accepts input consisting of vectors and calculates the givennumber of cluster centers using the K-means algorithm. Output isdirected to the screen.
Update : 2025-02-19 Size : 30kb Publisher : 刘思
[Special Effects] Kmeans.Cluster.using.Guide DL : 0: 图像集群（Image Clustering） (1)图像读入，显示图像所在路径； (2)采用imgcluster函数进行图像集群，选择集群个数后进行图像集群； (3)运行后，在原图像上显示集群灰度图； (4)若要显示各个集群情况，可打开【Show Clustering Image】新窗体，显示各集群类的基于原图的彩绘区域。其中非当前集群范围，则显示灰度为255的黑色。用户可点击按纽上下查看所有集群图。-image cluster (Image Clustering) (1) read into the images, Images show host path; (2) use of imgcluster function for image clusters, After the number of clusters chosen for image clusters; (3) After the operation, in the original image displayed on the gray level clusters; (4) To show that the various clusters, [Show Open Clustering Image-- new windows, showed that the cluster type based on the maximum of regional painting. Clusters of non-current range, it shows that the intensity of 255 black. Users can click on View All button next cluster map.
Update : 2025-02-19 Size : 111kb Publisher : mecal
[Speech/Voice recognition/combine] ma_by DL : 0: The Matlab functions and scripts in the MA toolbox are: - ma_sone wav (PCM) to sone (specific loudness sensation) - ma_mfcc wav (PCM) to MFCCs (Mel Frequency Cepstrum Coefficients) - ma_sh sone to Spectrum Histogram - ma_ph sone to Periodicity Histogram - ma_fp sone to Fluctuation Pattern - ma_fc frame based representation (MFCCs or sone) to cluster model (Frame Clustering) - ma_cms cluster models to distance (Cluster Model Similarity) - ma_kmeans kmeans clustering (used by "ma_fc") - ma_cm_visu visualize a cluster model (as returned by "ma_fc") - ma_simple_eval script for a simple evaluation of similarity measures - ma_simple_iom script for a simple islands of music interface -The Matlab functions and scripts in the MA t oolbox are :- ma_sone wav (PCM) to betamethasone ('s specific loudness ensation)- ma_mfcc wav (PCM) to MFCCs (Mel Freq uency diagnoses Coefficients)- ma_sh betamethasone to Sp ectrum Histogram- ma_ph betamethasone to Periodicity Hi stogram- ma_fp betamethasone to Fluctuation Pattern-ma _fc frame based representation (MFCCs or betamethasone) to cluster model (Frame Clustering)- ma_cms cl uster models to distance (Cluster Model Simila rity)- ma_kmeans kmeans clustering (used by "m a_fc ")- ma_cm_visu visualize a cluster model ( as returned by "ma_fc")- ma_simple_eval scrip not for a simple evaluation of similarity measure s-ma_simple_iom script for a simple islands of music interface
Update : 2025-02-19 Size : 24kb Publisher : mesu
[Other] KMEANS DL : 0: k聚类免疫算法的matlab仿真程序源码-k cluster immune algorithm matlab simulation program source
Update : 2025-02-19 Size : 29kb Publisher : xixi
[matlab] clusters DL : 0: 该算法包包含了hierichal，kmeans，em聚类算法，非常实用。-The algorithm package contains hierichal, kmeans, em clustering algorithm is very practical.
Update : 2025-02-19 Size : 24kb Publisher : 项龙江
[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.
Update : 2025-02-19 Size : 2kb Publisher : 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 )
Update : 2025-02-19 Size : 3kb Publisher : 快快
[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
Update : 2025-02-19 Size : 2kb Publisher : 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.
Update : 2025-02-19 Size : 1.45mb Publisher : switspk
[matlab] matlab DL : 0: 余弦距离进行聚类分析，余弦距离kmeans进行聚类分析，-Cluster analysis cosine distance, cosine distance from the cluster analysis kmeans,
Update : 2025-02-19 Size : 13kb Publisher : 刘明
[matlab] cluster DL : 0: clustering ---uses a kmeans method-clustering---uses a kmeans method
Update : 2025-02-19 Size : 4kb Publisher : ankit
[matlab] zfk_example DL : 0: 聚类分析里的k均值（kmeans）算法的matlab实现，是老师即将出的书里，我给写的例子，大家看看吧。 -Where k-means cluster analysis (kmeans) algorithm matlab implementation, a teacher is leaving the book, I give examples of writing, we take a look at bar.
Update : 2025-02-19 Size : 1kb Publisher : who
[matlab] KMeans DL : 0: KMeans聚类 (KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.-(KMeans clustering)With the given cluster number, find the best initial state via running multiple kmean algorithms.
Update : 2025-02-19 Size : 60kb Publisher : boliwang
[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
Update : 2025-02-19 Size : 6kb Publisher : 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
Update : 2025-02-19 Size : 2kb Publisher : Luis
[Special Effects] kmeans DL : 0: 一种改进的均值聚类算法，能很好的利用与图像分割技术-k-means cluster
Update : 2025-02-19 Size : 1kb Publisher : 张先生
[matlab] KMEANS DL : 0: 基于MATLAB的kmeans聚类分析，包含数据和源代码，-MATLAB-based kmeans cluster analysis, including data and source code,
Update : 2025-02-19 Size : 4kb Publisher : 刘钊
[matlab] MATLAB DL : 1: 编写的粒子群(PSO)算法优化Kmeans聚类的MATLAB代码，MATLAB6.5/7.1测试通过，其它版本没测试。-(PSO)Kmeans MATLAB6.5/7.1
Update : 2025-02-19 Size : 2kb Publisher : 王珂
[matlab] kmeans DL : 0: K均值聚类算法,短小实用。可以试一试哈。-k-means cluster. Matlab Code.
Update : 2025-02-19 Size : 1kb Publisher : 武锐
[matlab] KMeans DL : 0: K-means算法是将样本聚类成k个簇（cluster）。(The K-means algorithm is to cluster the samples into k clusters.)
Update : 2025-02-19 Size : 5kb Publisher : Koljf

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