Description: 数据挖掘领域中聚类分析的相关的PPT以及一个聚类算法介绍-field of data mining cluster analysis of the PPT, and a clustering algorithm introduced Platform: |
Size: 1645568 |
Author:qiaoyu |
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Description: In fuzzy cluster analysis, many algorithms have been developed. In general, the most widely used is the Fuzzy c-Means Algorithms (FCMA).-fuzzy cluster analysis, many algorithms have been developed. In genera l the most widely used is the fuzzy c- Means Algori thms (FCMA). Platform: |
Size: 3072 |
Author:李兵 |
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Description: matlab作聚类分析,可实现很好的分类效果哦-matlab for cluster analysis, can be achieved very good classification results oh Platform: |
Size: 1024 |
Author:xiaoyou |
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Description: 闭包传递法的一个函数以及一个求最大生成树的函数,用于模糊聚类分析(matlab)-Closure of the transfer method for a function and a function of the maximum spanning tree for the fuzzy cluster analysis (matlab) Platform: |
Size: 1024 |
Author:kkk |
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Description: 在模式识别中,尤其需要对一些样本进行分类,聚类分析是常用的方法,本程序基于最小最大距离的聚类原则实现对样本的聚类-At pattern recognition, in particular a number of samples required for classification, clustering analysis is a commonly used method, the procedure based on the smallest maximum distance of the cluster principle implementation on sample clustering Platform: |
Size: 2048 |
Author:文嘉俊 |
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Description: Recent advances in experimental methods have resulted in the generation
of enormous volumes of data across the life sciences. Hence clustering and
classification techniques that were once predominantly the domain of ecologists
are now being used more widely. This book provides an overview of these
important data analysis methods, from long-established statistical methods
to more recent machine learning techniques. It aims to provide a framework
that will enable the reader to recognise the assumptions and constraints that
are implicit in all such techniques. Important generic issues are discussed first
and then the major families of algorithms are described. Throughout the focus
is on explanation and understanding and readers are directed to other resources
that provide additional mathematical rigour when it is required. Examples
taken from across the whole of biology, including bioinformatics, are provided
throughout the book to illustrate the key concepts and each technique’s
potential.-Recent advances in experimental methods have resulted in the generationof enormous volumes of data across the life sciences. Hence clustering andclassification techniques that were once predominantly the domain of ecologistsare now being used more widely. This book provides an overview of theseimportant data analysis methods, from long-established statistical methodsto more recent machine learning techniques. It aims to provide a frameworkthat will enable the reader to recognise the assumptions and constraints thatare implicit in all such techniques. Important generic issues are discussed firstand then the major families of algorithms are described. Throughout the focusis on explanation and understanding and readers are directed to other resourcesthat provide additional mathematical rigour when it is required. Examplestaken from across the whole of biology, including bioinformatics, are providedthroughout the book to illustrate the key concepts and each technique spotential. Platform: |
Size: 3196928 |
Author:fortunesr |
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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: 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. Platform: |
Size: 3072 |
Author:liz |
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Description: C均值法的程序算法matlab 程序,本程序用MATLAB实现了聚类分析的功能,保存tex文件中,无数据-C-means algorithm matlab process procedures, the procedures used MATLAB implementation of the cluster analysis function, preservation of tex file, no data Platform: |
Size: 1024 |
Author:郭子中 |
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Description: 用高斯混合模型进行数据聚类分析的matlab 程序。-Set of files for analysis of Gaussian mixture models for data set clustering etc. Platform: |
Size: 33792 |
Author:Ming Li |
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Description: 一种新的图像插值算法,此算法不需要先验信息,主要包括聚类分析,模式识别,图像插值三个阶段-A new image interpolation algorithm, the algorithm does not require a priori information, including cluster analysis, pattern recognition, image interpolation in three stages Platform: |
Size: 200704 |
Author:zjian |
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Description: 简单且实用的聚类分析软件。在windows系统下安装后即可使用该软件。有较好的图形用户界面。-Simple and useful software for cluster analysis. In the system after the installation of windows to use the software. Better graphical user interface. Platform: |
Size: 359424 |
Author:fu_jasmine |
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Description: 利用VB来实现的模糊聚类分析,形象而且易懂。-The use of VB to achieve the fuzzy cluster analysis, image and easy to understand. Platform: |
Size: 88064 |
Author:pengcheng |
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Description: 聚类分析的matlab源代码,文件中5种方法方法,每种方法都有测试数据-Cluster analysis matlab source code, documentation methods, 5 methods, each method has the test data Platform: |
Size: 17408 |
Author:yumingwei |
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