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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_normalize </title></head><body bgcolor=#f0f0f0><table border=0 width="100%" cellpadding=0 cellspacing=0><tr><td valign=baseline><font size=+2>SOM Toolbox</font></td><td valign=baseline align=center><a href="somtoolbox.html">Online documentation</td><td valign=baseline align=right><a href="http://www.cis.hut.fi/projects/somtoolbox/" target="_top">http://www.cis.hut.fi/projects/somtoolbox/</a></td></tr></table><hr><H1> som_normalize </H1><H3> Purpose </H3><PRE> Add/apply/redo normalization on data structs/sets.</PRE><H3> Syntax </H3><UL><PRE> sS = som_normalize(sS) sS = som_normalize(sS,method) D = som_normalize(D,sNorm) sS = som_normalize(sS,csNorm) sS = som_normalize(...,comps)</PRE></UL><H3> Description </H3><PRE> This function is used to (initialize and) add, redo and apply normalizations on data/map structs/sets. If a data/map struct is given, the specified normalizations are added to the '.comp_norm' field of the struct after ensuring that all normalizations specified therein have status 'done'. SOM_NORMALIZE actually uses function SOM_NORM_VARIABLE to handle the normalization operations, and only handles the data struct/set specific stuff itself. The different normalization methods are listed below. For more detailed descriptions, see SOM_NORM_VARIABLE. method description 'var' Variance is normalized to one (linear operation). 'range' Values are normalized between [0,1] (linear operation). 'log' Natural logarithm is applied to the values: xnew = log(x-m+1) where m = min(x). 'logistic' Logistic or softmax trasformation which scales all possible values between [0,1]. 'histD' Histogram equalization, values scaled between [0,1]. 'histC' Approximate histogram equalization with partially linear operations. Values scaled between [0,1]. 'eval' freeform operations To enable undoing and applying the exactly same normalization to other data sets, normalization information is saved into a normalization struct, which has the fields: .type ; struct type, ='som_norm' .method ; normalization method, a string .params ; normalization parameters .status ; string: 'uninit', 'undone' or 'done' Normalizations are always one-variable operations. In the data and map structs the normalization information for each component is saved in the '.comp_norm' field, which is a cell array of length dim. Each cell contains normalizations for one vector component in a struct array of normalization structs. Each component may have different amounts of different kinds of normalizations. Typically, all normalizations are either 'undone' or 'done', but in special situations this may not be the case. The easiest way to check out the status of the normalizations is to use function SOM_INFO, e.g. som_info(sS,3)</PRE><H3> Required input arguments </H3><PRE> sS The data to which the normalization is applied. (struct) Data or map struct. Before adding any new normalizations, it is ensured that the normalizations for the specified components in the '.comp_norm' field have status 'done'. (matrix) data matrix </PRE><H3> Optional input arguments </H3><PRE> method The normalization(s) to add/use. If missing, or an empty variable ('' or []) is given, the normalizations in the data struct are used. (string) Identifier for a normalization method to be added: 'var', 'range', 'log', 'logistic', 'histD' or 'histC'. The same method is applied to all specified components (given in comps). The normalizations are first initialized (for each component separately, of course) and then applied. (struct) Normalization struct, or an array of structs, which is applied to all specified components. If the '.status' field of the struct(s) is 'uninit', the normalization(s) is initialized first. Alternatively, the struct may be map or data struct in which case its '.comp_norm' field is used (see the cell array option below). (cell array) In practice, the '.comp_norm' field of a data/map struct. The length of the array must be equal to the dimension of the given data set (sS). Each cell contains the normalization(s) for one component. Only the normalizations listed in comps argument are applied though. (cellstr array) norm and denorm operations in a cellstr array which are evaluated with EVAL command with variable name 'x' reserved for the variable. comps (vector) The components to which the normalization(s) is applied. Default is to apply to all components.</PRE><H3> Output arguments </H3><PRE> sS Modified and/or updated data. (struct) If a struct was given as input argument, the same struct is returned with normalized data and updated '.comp_norm' fields. (matrix) If a matrix was given as input argument, the normalized data matrix is returned.</PRE><H3> Examples </H3><PRE> To add (initialize and apply) a normalization to a data struct: sS = som_normalize(sS,'var'); This uses 'var'-method to all components. To add a method only to a few selected components, use the comps argument: sS = som_normalize(sS,'log',[1 3:5]); To ensure that all normalization operations have indeed been done: sS = som_normalize(sS); The same for only a few components: sS = som_normalize(sS,'',[1 3:5]); To apply the normalizations of a data struct sS to a new data set D: D = som_normalize(D,sS); or D = som_normalize(D,sS.comp_norm); To normalize a data set: D = som_normalize(D,'histD'); Note that in this case the normalization information is lost. To check out the status of normalization in a struct use SOM_INFO: som_info(sS,3)</PRE><H3> See also </H3><TABLE NOBORDER WIDTH=80%><TR><TD><a href="som_denormalize.html"><B>som_denormalize</B></a><TD> Undo normalizations of a data struct/set.<TR><TD><a href="som_norm_variable.html"><B>som_norm_variable</B></a><TD> Normalization operations for a set of scalar values.<TR><TD><a href="som_info.html"><B>som_info</B></a><TD> User-friendly information of SOM Toolbox structs.</TABLE><p><hr><br><br><!-- Last updated: May 30 2002 --></body></html>⌨️ 快捷键说明
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