Perform Fuzzy C-Mean Clustering in each output dimension separately (1D clusterings)
output=OutputClustering1D(xraw,options)
Perform Fuzzy C-Mean Clustering in each output dimension separately
(1D clusterings)
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Parameters
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xraw - Matrix containing the data points.
Each row corresponds to a data point, each column
corresponds to a dimension. The data are not sorted.
MaxClusterNo - The maximum enabled number of clusters.
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: 0)
options(5): FS index plotting (default: 0)
options(6): indicates whether cluster merging should be done
(default: 1)
options(7): indicates whether the clusters should be plotted
(default: 0)
options(8): indicates whether the approximated trapezoids should be
plotted (default: 0)
options(9): indicates whether the number of clusters can be reduced to
1 during cluster merging (default: 0)
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 memebership matrix by
FCM (default: 0('deterministic'))
options(17): Treshold for the examination of the identity of
two cluster centers expressed in percentage of the
range of the actual linguistic variable
(default: 0.5)
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Returned values
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output - Row vector describing the output linguistic variables.
Each element contains a structure describing one output
dimension.
|-output(i)--name
| |-range
| |-mf(j)--name
| |-type
| |-params
| |-paramsy
| |-RPx
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Remarks
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Zsolt Csaba Johanyák, johanyak.csaba@gamf.kefo.hu, v. 1.4, 16 February
2007.