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matlab实现模糊聚类算法进行图像分割-matlab fuzzy clustering algorithm for image segmentation
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一种图像聚类分割的简单的算法实现，是最为经典的基于划分的聚类方法-Simple clustering algorithm for image segmentation implementation, is the most classic division based clustering methods
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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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模糊核聚类图像分割，有很好的实例和码源，值得大家学习。-Fuzzy kernel clustering image segmentation, a very good examples and source code, worth learning.
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本程序为M文件，运行环境为matlab, 也可通过matlab转化为C++运行。实现功能：可实现医学图像的自动分割！-Fuzzy Clustering
Algorithm for Medical Image Segmentation
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真的是一个好程序，完整的图像处理课设，包含所有源代码，汽车图像，用MATLAB实现动态聚类或迭代自组织数据分析。- Really is a good program, Complete class-based image processing, contains all of the source code, auto image, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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In this post, we are going to share with you, the MATLAB implementation of Color Quantization and Color Reduction of images, using intelligent clustering approaches: (a) k-Means Algorithm, (b) Fuzzy c-Means Clustering (FCM), and (c) Self-Organizing M
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利用matlab针对图像进行马氏距离计算 ,用MATLAB实现动态聚类或迭代自组织数据分析，有信道编码，调制，信道估计等。- Using matlab to calculate the Mahalanobis distance for the image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Channel coding, modulation, channel estimatio
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对于初学matlab的同学会有帮助，利用matlab针对图像进行马氏距离计算 ,用MATLAB实现动态聚类或迭代自组织数据分析。- Matlab for beginner students will help, Using matlab to calculate the Mahalanobis distance for the image, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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调试通过可以使用，仿真图是速度、距离、幅度三维图像，用MATLAB实现动态聚类或迭代自组织数据分析。- Debugging can be used, FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB dynamic clustering or iterative self-organizing data analysis.
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LZ复杂度反映的是一个时间序列中，完整的图像处理课设，包含所有源代码，汽车图像，用MATLAB实现动态聚类或迭代自组织数据分析。- LZ complexity is reflected in a time sequence, Complete class-based image processing, contains all of the source code, auto image, Using MATLAB dynamic clustering or iterative self-org
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仿真图是速度、距离、幅度三维图像，用MATLAB实现动态聚类或迭代自组织数据分析，基于小波变换的数字水印算法matlab代码。- FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Based on wavelet transform digital waterma
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仿真图是速度、距离、幅度三维图像，用MATLAB实现动态聚类或迭代自组织数据分析，用MATLAB编写的遗传算法路径规划。- FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Genetic algorithms using MATLAB path planning
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利用matlab针对图像进行马氏距离计算 ,用MATLAB实现动态聚类或迭代自组织数据分析，包含CV、CA、Single、当前、恒转弯速率、转弯模型。- Using matlab to calculate the Mahalanobis distance for the image, Using MATLAB dynamic clustering or iterative self-organizing data analysis, It contains CV, CA, Single, cur
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K-means算法是很典型的基于距离的聚类算法，采用距离作为相似性的评价指标，即认为两个对象的距离越近，其相似度就越大(K-means algorithm is a typical distance based clustering algorithm. The distance is used as the evaluation index of similarity, that is, the closer the distance between the two objects, the
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Including compression ratio, image restoration computing uptime and peak signal to noise ratio, There Wavelet Analysis Blind Signal Processing, Clustering analysis based on Euclidean distance.
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实现点的聚类，并用做图像分割，来源是文章：Self-Tuning Spectral Clustering
(作者: Lihi Zelnik-Manor, Pietro Perona )(point clustering and image segmentation, algorithm is from paper:Self-Tuning Spectral Clustering(author: Lihi Zelnik-Manor, Pietro Perona ))
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This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab's Image Processing Toolbox, and in fact it requires that the Matlab Image Toolbox be installed. Emphasis has been pl
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Can realize the two-dimensional data clustering, Complete class-based image processing, contains all of the source code, auto image, Numerical solution of differential equations method.
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Andrew Ng Cousera 机器学习K-means勇于图像压缩 以及主成分分析PCA用在人脸识别，源代码以及说明文档。(Andrew Ng Cousera machine learning , the K-means clustering algorithm and apply it to compress an image. In the second part, you will use principal component analysis to find a low-dime
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