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一个均值漂移的VC++聚类源程序,可以试试聚类,其效果还不错.-mean a shift of VC cluster source, you can try clustering, the effect is not bad.
Update : 2008-10-13 Size : 38.14kb Publisher : 王冰

mean shift算法在聚类中的matlab实现-mean shift clustering algorithm to achieve the Matlab
Update : 2025-02-17 Size : 3kb Publisher : 陈彪

一个均值漂移的VC++聚类源程序,可以试试聚类,其效果还不错.-mean a shift of VC cluster source, you can try clustering, the effect is not bad.
Update : 2025-02-17 Size : 38kb Publisher : 王冰

meanshift聚类,找到聚类中心,以及数据的类别-Clustering meanshift to find cluster centers, as well as the type of data
Update : 2025-02-17 Size : 4kb Publisher : 李莉

用于遥感图像分类。其输入为几幅遥感图像,使用k-mean聚类方法对图像中的不同地形进行聚类分割-For remote sensing image classification. Their input for a number of remote sensing images, the use of k-mean clustering method to image the topography of the different cluster partition
Update : 2025-02-17 Size : 410kb Publisher : xxl

ClustanGraphics聚类分析工具。提供了11种聚类算法。 Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean Proximity Centroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of Squares Flexible (ß space distortion parameter) Density (or k-linkage, density-seeking mode analysis) -ClustanGraphics clustering analysis tools. Provides 11 kinds of clustering algorithms. Single Linkage (or Minimum Method, Nearest Neighbor) Complete Linkage (or Maximum Method, Furthest Neighbor) Average Linkage (UPGMA) Weighted Average Linkage (WPGMA) Mean ProximityCentroid (UPGMC) Median (WPGMC) Increase in Sum of Squares (Ward s Method) Sum of SquaresFlexible (? space distortion parameter) Density (or k-linkage, density-seeking mode analysis)
Update : 2025-02-17 Size : 55kb Publisher : wangyexin

DL : 0
使用分解聚类算法在IRIS数据上进行聚类分析,IRIS数据是由鸢尾属植物的三种单独的花的测量结果所组成,模式类别数为3,特征维数是4,每类各有50个模式样本,总共有150个样本。-The use of decomposition in the IRIS data clustering algorithm on the cluster analysis, IRIS data are from the iris flower three separate components of the measurement results, models for category 3, 4 are characteristic dimension, of each type of each 50 model samples, a total of 150 samples.
Update : 2025-02-17 Size : 3kb Publisher : liz

利用mean shift实现图像分割和平滑-utilize the mean shift method to achieve image segementation and flatness.
Update : 2025-02-17 Size : 586kb Publisher : 王明亮

mean shift cluster計算以及使用方法-mean shift cluster computing, and to use
Update : 2025-02-17 Size : 3kb Publisher : oakley

使用mean-shift(均值漂移),进行聚类-matlab-Mean-Shift-Cluster using matlab
Update : 2025-02-17 Size : 3kb Publisher : mz

DL : 0
mean shift program of the cluster
Update : 2025-02-17 Size : 2kb Publisher : shigeaki

奉文主要针对经典的Mean Shift跟踪算法均匀剖分整个颜色空间造成许多空的直方图区间以及不能准确表达目标 颜色分布的缺点,提出J,一种改进算法.该改进算法首先对目标的颜色进行聚类分析,根据聚类结果通过矩阵分解和正交变换 自适席地剖分日标的颜色空间从向确定对戍于每一聚类的子空间.在此基础上定义 一种新的颜色模型,该模型统计落入每 一颜色子空间的像素的加权个数并用高斯分布建模每一个子空间的颜色分布,并推导r一种相似性度量米比较目标和候选目 标的颜色模型之间的相似程度.最后基于该颜色模型提出J,改进算法.实验表 ,基于该颜色模型的改进算法比经典的Mean Shift算法具有更好的性能,向跟踪时间与经典算法大致相 .-The traditional Mean Shift tracking algorithm partitions uniformly the whole color space,leading to a great number of void histogram bins,and is unable to represent accurately the color distribution of the object.To address the problems,we present an improved algorithm.Firstly the object color is analyzed using a clustering algorithm,and according to the clustering result the color space of the object is partitioned into subspaces by matrix factorization and orthonormal transformation.Then a new color model is defined by considering the weighted number of pixels as well as within—cluster distribution with Gaussian .and a novel measure iS derived to evaluate the similarity between the reference color model and the candidate mode1.Finally an improved algorithm is proposed based on the color mode1.Experiments show that the improved algorithm has better performance than and is computationally comparable to the conventional mean shift algorithm.
Update : 2025-02-17 Size : 430kb Publisher : 陈方芳

基于mean shift的阈值分割matlab代码,先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类,然后,在此基础上应用阈值分割算法,达到将图像与背景分离的目的。-Threshold based on mean shift segmentation matlab code, the first split with the Mean Shift algorithm similar to the gray value characteristics of the elements of the cluster, and then, on this basis, the application threshold segmentation algorithm to the image and background separation.
Update : 2025-02-17 Size : 2kb Publisher : xcm

Mean shift pixel cluster
Update : 2025-02-17 Size : 3kb Publisher : regist1

我们先借助Mean Shift算法的分割特性将灰度值相近的元素进行聚类,然后,在此基础上应用阈值分割算法,达到将图像与背景分离的目的。-We first use the division characteristics of the Mean Shift algorithm, the grey value of similar element in the cluster, and then, on the basis of using threshold segmentation algorithm, to achieve the purpose of the image and background separation.
Update : 2025-02-17 Size : 1kb Publisher : xj
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