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Clustering and Data Analysis Toolbox

by Janos Abonyi

 

19 Apr 2005 (Updated 20 Apr 2005)

The toolbox provides four categories of functions.

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Description

Nowadays due to the yearly multiplying data comes always the claim for useful methods and algorithms that make the processing of these data easier. For the solution of this problem data mining tools come into existence, to which the clustering algorithms belong. At the Department of Process Engineering of the University of Veszprem much research has been done on the clustering algorithms, many articles, publications and an MSc theme were published dealing with this topic. To unite all these information and knowledge a "Clustering and Data Analysis Toolbox" was needful. The purpose of this work 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.

MATLAB release MATLAB 7.0.1 (R14SP1)
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Comments and Ratings (15)
16 May 2005 w e  
18 Jun 2005 guersi noureddine  
19 Dec 2005 Elsy Ibrahim  
10 Jan 2006 Fang Cao

Could I use these programs to process color images?

19 Apr 2006 Arif ihsan  
05 Jul 2006 Avik Mitra

Quite Good!

24 Sep 2006 patrick janvier

could i use this program to segment handwriting

11 Mar 2007 Richardo Polymechani

Very good and useful.

14 Jul 2007 pooya Derakhshan

hi
please help me and mail me ,if someone knows simulation or mfile about PID controlling by Fuzzy.
thanks,

19 Aug 2007 hongsic yun  
27 Dec 2007 Marianela Matta  
10 Apr 2008 ANU Sharma

Good one!!!
I want to classify different frequency data using neural network. Wat approach should I USE?/ FFT coefficients or some other??

27 Feb 2009 Stanislav  
09 Apr 2012 Anikó Bartos  
23 May 2012 lei

how to download this paper. i do need it

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Tag Activity for this File
Tag Applied By Date/Time
fuzzy logic Janos Abonyi 22 Oct 2008 07:46:13
neural networks Janos Abonyi 22 Oct 2008 07:46:13
fuzzy clustering Janos Abonyi 22 Oct 2008 07:46:13
cmeans Janos Abonyi 22 Oct 2008 07:46:13
cluster validity Janos Abonyi 22 Oct 2008 07:46:13
kmeans Janos Abonyi 22 Oct 2008 07:46:13
cluster validity Gourish Chatterjee 22 Oct 2009 07:53:25
neural networks Julian 21 Jun 2011 05:53:01

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