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dissimt

DISSIMT

### Fixed DISsimilarity-SIMilarity transformations

T = P*DISSIMT(TYPE,PAR)

 Input P NxN or NxM proximity matrix or dataset TYPE Type of the transformation that acts on proximity data  (optional; default: 'POW'): 'I', 'identity': P 'SCALE', 'scale': P ./ PAR 'NEG', 'negative': -P 'NEG2', 'negative2': -P.^2 'REV', 'reverse': 1./(PAR + P) 'REV2', 'reverse': 1./(PAR^2 + P.^2) 'D2S', 'S2D': 1-P 'D2SSQ','S2DSQ': sqrt(1-P) 'POW', 'power': P.^PAR 'EXP', 'exponent': exp(-P./PAR) 'EXP2', 'exponent2': exp((-P.^2)./(PAR^2)) 'GAUSS': exp((-P.^2)./(2*PAR^2)) 'LOG', 'logarithm': log(P/PAR) 'NLOG', 'neglog': -log((P+1)./PAR) 'NLOG2','neglog2': -log((P.^2+1)./PAR^2) 'SIGM', 'sigmoid': 2./(1+exp(-P./PAR))-1  'SIGM2','sigmoid2': 2./(1+exp(-(P.^2)./PAR^2))-1 'SIM2DIS': inner products to Euclidean distances 'DIS2SIM': Euclidean distances to inner products PAR Parameter, PAR > 0 (optional; default: 1)

 Output T NxN or NxM proximity matrix or dataset

### Description

A fixed mapping that transforms proximity data. Note that in some cases  similarity is transformed into dissimilarity, or vice versa.

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