Home > SFMI > MergeClusters.m

MergeClusters

PURPOSE ^

Merge 1D fuzzy clusters)

SYNOPSIS ^

function [v,U]=MergeClusters(x,v,U,options)

DESCRIPTION ^

 Merge 1D fuzzy clusters)

      [v,U]=MergeClusters(x,v,U,options)

 Merge 1D fuzzy clusters)
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 Parameters
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 x       - column vector containing the data points
 v       - column vector containing the cluster centers
 U       - matrix containing the membership values, each row corresponds to a
           cluster, each column corresponds to a data point
 options - column vector containing parameters of the FCM clustering
   options(1): exponent for the partition matrix U (default: 2.0)
   options(2): maximum number of iterations (default: 100)
   options(3): minimum amount of improvement (default: 1e-5)
   options(4): info display during iteration (default: 1)
   options(5): FS index plotting (default: 1)
   options(6): indicates whether cluster merging should be done
   options(7): indicates whether the clusters should be plotted
   options(8): indicates whether the approximated trapezoids should be plotted
   options(9): indicates whether the number of clusters can be reduced to
               1 during cluster merging
   options(10): similarity treshold for set merging (default: 0.05)
   options(11): fuzzy index for the calculation of the FS index 
                (default: 2)
   options(12): cut level for the approximation of the trapezoids 
                (default: 0.85)
   options(13): info display during optimal cluster number determination 
                (default: 0)
   options(14): maximum number of clusters (default: 7)
   options(15): number of decimals (default: 2)
   options(16): initialization mode of the membership matrix by
                FCM (default: 0('deterministic'))
   options(17): treshold for the examination of the identity of two
                cluster centers (default:1e-6)
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 Returned values
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 v       - column vector containing the cluster centers
 U       - matrix containing the membership values, each row corresponds to a
           cluster, each column corresponds to a data point
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 Remarks
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 Zsolt Csaba Johanyák, johanyak.csaba@gamf.kefo.hu, v. 1.3,  16 February
 2007.

CROSS-REFERENCE INFORMATION ^

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