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中心点漂移是一种非监督聚类算法（与k-means算法相似，但应用范围更广些),可用于图像分割，基于Matlab实现的源码。
MedoidShift is a unsupervised clustering algorithm(similar to k-means algorithm, but can be used in border application fields), can be used for image segmentation. Included is the Matlab
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Code MATLAB in S. Theodoridis, A. Pikrakis, K. Koutroumbas, D. Cavouras - Introduction to Pattern Recognition: A MATLAB Approach
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matlab programming for clustering pam , k-means , dbscan , optics for image segmentation
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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.
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K近邻算法在Matlab中的实现，相当完整，对研究KNN算法有一定帮助-K nearest neighbor in the Matlab, implementation, rather complete, the study of KNN algorithm has certainly helped
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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.
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K均值 很好用的K均值代码 -K-means K-means used in a very good code
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A Two dimensional clustering application in matlab, which covers K-Means, hierarchical agglomerate clustering methods
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使用了JIT的高效的k均值算法，因为使用了JIT加速，所以在统计工具箱下，比一般的k均值要快许多-Efficient K-Means using JIT (Matlab code)
This code uses the JIT acceleration in Matlab, so it is much faster than k-means in the Statistics Toolbox. It is very simple and easy to read.
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该代码能够实现K均值聚类算法对彩色图像分割，在MATLAB下实现。-The code can achieve K means clustering algorithm to color image segmentation, in MATLAB to achieve.
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The code for k-means cluster in matlab. It works well in matlab.
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k 均值聚类算法 ，能有效的将数据分成k类
但是具有k参数难以确定的缺点。
-k-means algorithm can cluster data into K class but, the parameter K can not be selected easily.
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Matlab for k means. It employs k means clustering. Efficient k means to give out clster sets.Code is in matlab
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This code is calculating K-means in matlab programming.
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K均值聚类在Matlab中的代码实现，是图像分割和图像识别中常用处理操作-K-means clustering code in Matlab realize image segmentation and image recognition is commonly used in processing operations
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code k-means in Matlab for Manuel
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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 par
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K-means算法的matlab实现，附带原始数据(matlab code of K-means in machine learning)
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此代码可以对图像很好的聚类，文件里面有原始图像，也有聚类后的图像，聚类的效果挺好的，大家可以看看(This code can make a good clustering of images. In the file, there are original images, and there are also images of clustering. The effect of clustering is good. You can have a look at it)
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Color Reduction and Quantization using k-Means, Fuzzy Clustering (FCM), and SOM Neuarl Network in MATLAB
In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent c
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