Documentation of sammon

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Function Synopsis

[DataLow] = sammon(DataHigh, SamOpt, Labels)

Help text

 Multidimensional scaling (SAMMON mapping)

 This function performs SAMMON mapping, a multidimensional
 scaling method used for scaling multidimensional data 
 to a lower dimension (normally to two or three dimensions).
 The scaled data give an abstract picture of the multi-
 dimensional data. 

 Syntax:  [DataLow] = sammon(DataHigh, SamOpt, Labels)

 Input parameter:
    DataHigh  - Matrix of multidimensional data
                   every row corresponds to one multidimensional
                   data point 
    SamOpt    - Vector containing options for sammon mapping
                SamOpt(1): dimension of low dimensional data
                   DimDataLow: [ 1 2 3 ... ]
                   if omitted or NaN, DataLowDim = 2 is assumed 
                SamOpt(2): display of steps and warnings during
                           optimization, options(1) for optimization
                           function
                   ShowOptSteps: [ -1 0 1 ]
                                 -1: no messages, no warnings
                                  0: only warnings
                                  1: warnings and messages
                   if omitted or NaN, ShowOptSteps = -1 is assumed 
   Labels     - Matrix containing strings used for labeling data 
                   points
                   if omitted or empty, row number of data points are used
                   if less labels are provided than points, omitted
                      labels are produced using row number of data points

 Output parameter:
    DataLow   - Matrix of lowdimensional data
                   every row corresponds to one lowdimensional
                   data point and corresponds with DataHigh

 See also: compdiv

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