Description: 首先介绍模糊集基本知识
其次K均值聚类算法(HCM)介绍
最后重点介绍了模糊C均值聚类,
模糊聚类是一种很重要思想,最近再图像处理中就用的了这种思想,也算是一点思维创新-First of all, introduce basic knowledge of fuzzy sets was followed by K-means clustering algorithm (HCM) focuses on the introduction Finally fuzzy C-means clustering, fuzzy clustering is a very important thinking, recently re-image processing on the use of such thinking, but also Innovative thinking is that Platform: |
Size: 17408 |
Author:huiguiyang |
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Description: 这本书是关于模糊聚类方面的,希望对大家的研究有所帮助!-This book is about aspects of fuzzy clustering, and they hope to help you study! Platform: |
Size: 2075648 |
Author:何欢 |
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Description: 这里描述了模糊聚类的一些方法,书为英文,但是内容很充实,有例子给出应用说明。-Here describes a number of fuzzy clustering methods, the book is English, but the content is very substantial, there are examples of application notes are given. Platform: |
Size: 2073600 |
Author:mm7760 |
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Description: 在Visual C++下实现聚类分析在图像识别中的应用。其中包括模糊聚类,遗传算法聚类分析,层次聚类和动态聚类等算法。可以运行,并有分类的源文件。是不错的研究素材。-In Visual C++ Achieve clustering analysis in image recognition applications. Including fuzzy clustering, genetic algorithm for cluster analysis, hierarchical clustering and dynamic clustering algorithm, etc.. Can run, and the classification of the source file. Is a good study material. Platform: |
Size: 229376 |
Author:dd |
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Description: 协同模糊聚类建模通过特征选择和协同模糊聚类的模糊建模方法构建T-S模型,并用此模型对数据进行测试。-Collaborative fuzzy clustering modeling and collaboration through the feature selection fuzzy clustering TS fuzzy modeling method to build models and use this model of data for testing. Platform: |
Size: 3072 |
Author:zhangwenming |
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Description: 模糊核聚类算法的几篇论文及matlab源码,供大家学习交流-Fuzzy clustering algorithm several nuclear dissertation and matlab source code for the U.S. study COMMUNICATION Platform: |
Size: 1384448 |
Author:suweiguo |
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Description: 实现了Fuzzy C-Mean的方法,这是一种基于模糊数学的聚类方法,很好用!-Implementation of Fuzzy C-Mean method, which is a math-based Fuzzy Clustering Method, a very good use! Platform: |
Size: 1024 |
Author:yang |
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Description: 实现数据挖掘的几个算法,包括模糊聚类,K均值,以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K Platform: |
Size: 256000 |
Author:Haha |
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Description: 层次模糊聚类的算法实现,一个用C或者C++写的kmeans算法,最新的聚类算法-Level fuzzy clustering algorithm, one using C or C++ written kmeans algorithm, the latest clustering algorithm Platform: |
Size: 2048 |
Author:郭子中 |
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Description: FuzzyClust 模糊聚类
用C#语言描述.聚类方式包括:全部,按λ值,按规定类别数-FuzzyClust fuzzy clustering described using C# language. Clustering methods include the following: all, according to λ values, in accordance with the provisions of several categories Platform: |
Size: 4096 |
Author:麦子 |
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Description: 数据挖掘算法的实现,基于模糊聚类的最大树算法,数据集是darpa99,也就是KDD-CUP99中采用的数据集-The realization of data mining algorithms, based on fuzzy clustering of the largest tree algorithm, a data set is darpa99, which is used in KDD-CUP99 data set Platform: |
Size: 32768 |
Author:谢松林 |
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Description: 模糊均值聚类FCM 对图像颜色进行聚类 然后对图像进行分割 -Fuzzy-means clustering FCM clustering of the images and then color image segmentation Platform: |
Size: 152576 |
Author:小五子 |
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Description: The Fuzzy Logic Toolbox™ product extends the MATLAB® technical computing environment with tools for designing systems based on fuzzy logic. Graphical user interfaces (GUIs) guide you through the steps of fuzzy inference system design. Functions are provided for many common fuzzy logic methods, including fuzzy clustering and adaptive neurofuzzy learning.-The Fuzzy Logic Toolbox™ product extends the MATLAB® technical computing environment with tools for designing systems based on fuzzy logic. Graphical user interfaces (GUIs) guide you through the steps of fuzzy inference system design. Functions are provided for many common fuzzy logic methods, including fuzzy clustering and adaptive neurofuzzy learning. Platform: |
Size: 1190912 |
Author:mplayerx1 |
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Description:
使用matlab实现的各种聚类算法,其中包括具体例子进行详细说明。-The purpose of the development of this toolbox was to compile a continuously extensible, standard tool, which is useful for any MATLAB user for one s aim. In Chapter 1 of the downloadable related documentation one can find a theoretical introduction containing the theory of the algorithms, the definition of the validity measures and the tools of visualization, which help to understand the programmed MATLAB files.
Chapter 2 deals with the exposition of the
files and the description of the particular algorithms, and they are illustrated with simple examples, while in Chapter 3 the whole
Toolbox is tested on real data sets during the solution of three clustering problems: comparison and selection of algorithms estimating the optimal number of clusters and examining
multidimensional data sets.
About the Toolbox
The Fuzzy Clustering and Data Analysis Toolbox is a collection of MATLAB functions. The toolbox provides five categories of functions:
- Cluste Platform: |
Size: 2143232 |
Author:JinJun |
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