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| ===Purpose===
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| Min-Max scaling
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| ===Synopsis===
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| :[xcorr,mins,maxs] = minmax(x,''options''); %perform min-max scaling
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| ===Description===
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| Scales rows (or columns) of the input <tt>x</tt> to be have a minima of 0 and a maxima of 1.
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| ====Inputs====
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| * '''x''' = ''M'' by ''N'' matrix of data to be scaled (class "double" or "dataset").
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| ====Optional Inputs====
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| * '''options''' = Options structure. See details below.
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| ''options'' = a structure array with the following fields:
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| * '''mode''': [ 1 ] dimension of data on which to calculate the minima and maxima for scaling. 1 = over rows (to scale variables); 2 = over columns (to scale samples). Default is 1.
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| ====Outputs====
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| * '''xcorr''' = the scaled data (xcorr will be the same class as x)
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| * '''mins''' = vector of minima for each row (or column)
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| * '''maxs''' = vector of maxima for each row (or column)
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| ===See Also===
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| [[auto]], [[normaliz]], [[preprocess]], [[snv]]
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Latest revision as of 11:44, 1 August 2019
