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SVMCrossVal.git
somtoolbox2
som_denormalize.m
starting som prediction fine-tuned class-performance visualisation
Christoph Budziszewski
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at 2009-01-21 16:34:25
som_denormalize.m
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function sD = som_denormalize(sD,varargin) %SOM_DENORMALIZE Denormalize data. % % sS = som_denormalize(sS, [argID, value, ...]) % % sS = som_denormalize(sS) % sS = som_denormalize(sS,[1:3 10],'remove') % D = som_denormalize(D,sM.comp_norm) % D = som_denormalize(D,sM,[1:3 10]) % % Input and output arguments ([]'s are optional): % sS The data to which the denormalization is applied. % The modified and updated data is returned. % (struct) data or map struct % (matrix) data matrix (a matrix is also returned) % [argID, (string) See below. The values which are unambiguous can % value] (varies) be given without the preceeding argID. % % Here are the valid argument IDs and corresponding values. The values which % are unambiguous (marked with '*') can be given without the preceeding argID. % 'norm' *(struct) Normalization struct, or an array of such. % Alternatively, a map/data struct can be given % in which case its '.comp_norm' field is used % (see below). % *(cell array) Of normalization structs. Typically, the % '.comp_norm' field of a map/data struct. The % length of the array must be equal to data dimension. % 'remove' *(string) If 'remove' tag is specified, the % normalization operations are not only undone, % they are also removed from the struct. % 'comps' *(vector) the components to which the denormalization is % applied, default is [1:dim] ie. all components % % For more help, try 'type som_denormalize' or check out online documentation. % See also SOM_NORMALIZE, SOM_NORM_VARIABLE, SOM_INFO. %%%%%%%%%%%%% DETAILED DESCRIPTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % som_denormalize % % PURPOSE % % Undo normalizations of data structs/sets. % % SYNTAX % % sS = som_denormalize(sS) % sS = som_denormalize(...,'argID',value,...); % sS = som_denormalize(...,value,...); % D = som_denormalize(D,sNorm) % % DESCRIPTION % % This function is used to undo normalizations of data structs/sets. If a % data/map struct is given, all normalizations in the '.comp_norm' field are % undone and, thus, the values in the original data context are returned. If % a matrix is given, the normalizations to undo must be given as the second % argument. SOM_DENORMALIZE actually uses function SOM_NORM_VARIABLE to % handle the normalization operations, and only handles the data struct/set % specific stuff itself. % % 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) % % REQUIRED INPUT ARGUMENTS % % sS The data to which the denormalization is applied. % (struct) Data or map struct. The normalizations in the % '.comp_norm' field are undone for the specified % components. % (matrix) Data matrix. The normalization to undo must be % given in the second argument. % % OPTIONAL INPUT ARGUMENTS % % argID (string) Argument identifier string (see below). % value (varies) Value for the argument (see below). % % The optional arguments can be given as 'argID',value -pairs. If an % argument is given value multiple times, the last one is used. The % valid IDs and corresponding values are listed below. The values % which are unambiguous (marked with '*') can be given without the % preceeding argID. % % sNorm *(struct) Normalization struct, or an array of structs, which % is undone for all specified components. If the % '.status' field of the struct(s) is 'uninit', % the undoing operation is interrupted - it cannot be % done. 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 % undone though. % % 'remove' *(string) If 'remove' tag is specified, the % normalization operations are not only undone, % they are also removed from the struct. % % 'comps' *(vector) The components which are denormalized. % Default is to undo all components. % *(string) 'all' % % OUTPUT ARGUMENTS % % sS Modified and/or updated data. % (struct) If a struct was given as input argument, the % same struct is returned with denormalized data and % updated '.comp_norm' fields. % (matrix) If a matrix was given as input argument, the % denormalized data matrix is returned. % % EXAMPLES % % To undo normalization of a data/map struct: % % sD = som_denormalize(sD); % sM = som_denormalize(sM); % % To completely remove the normalizations, use the 'remove' tag: % % sD = som_denormalize(sD,'remove'); % % To undo only a few selected components, use the comps argument: % % sD = som_denormalize(sD,[1 3:5]); % % To denormalize a set of values from a data set D (which must be % of equal dimension as the data in sD): % % D = som_denormalize(D,sD); % or % D = som_denormalize(D,sD.comp_norm); % only denormalize a few components % D = som_denormalize(D,sD,[1 3:5]); % % Assuming you have a few values of a certain vector component (i) % in a vector (x) which you want to denormalize: % % xorig = som_denormalize(x,sD.comp_norm{i}); % or using SOM_NORM_VARIABLE % xorig = som_norm_variable(x,sD.comp_norm{i},'undo'); % % To check out the status of normalization in a struct use SOM_INFO: % % som_info(sM,3) % som_info(sD,3) % % SEE ALSO % % som_normalize Add/apply/redo normalizations of a data struct/set. % som_norm_variable Normalization operations for a set of scalar values. % som_info User-friendly information of SOM Toolbox structs. % Copyright (c) 1998-2000 by the SOM toolbox programming team. % http://www.cis.hut.fi/projects/somtoolbox/ % Version 2.0beta juuso 151199 150300 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% check arguments error(nargchk(1, 3, nargin)); % check no. of input arguments is correct % sD struct_mode = isstruct(sD); if struct_mode, switch sD.type case 'som_map', D = sD.codebook; case 'som_data', D = sD.data; otherwise, error('Illegal struct.') end else D = sD; end [dlen dim] = size(D); % varargin comps = [1:dim]; remove_tag = 0; if struct_mode, sNorm = sD.comp_norm; else sNorm = []; end i=1; while i<=length(varargin), argok = 1; if ischar(varargin{i}), switch varargin{i}, % argument IDs case 'comps', i=i+1; comps = varargin{i}; case {'norm','sNorm','som_norm'}, i=i+1; sNorm = varargin{i}; % unambiguous values case 'remove', remove_tag = 1; otherwise argok=0; end elseif isnumeric(varargin{i}), comps = varargin{i}; elseif isstruct(varargin{i}), sNorm = varargin{i}; elseif iscell(varargin{i}), sNorm = varargin{i}; else argok = 0; end if ~argok, disp(['(som_denormalize) Ignoring invalid argument #' num2str(i+1)]); end i = i+1; end % check comps if ischar(comps), comps = [1:dim]; end if isempty(comps), return; end if size(comps,1)>1, comps = comps'; end % make it a row vector % sNorm % check out the given normalization % (and if necessary, copy it for each specified component) if isstruct(sNorm), switch sNorm(1).type, case {'som_map','som_data'}, csNorm = sNorm(1).comp_norm; case {'som_norm'}, for i=comps, csNorm{i} = sNorm; end otherwise, error('Invalid struct for sNorm.') end elseif iscell(sNorm), csNorm = sNorm; else error('Illegal value for sNorm.') end % check that csNorm and comps possibly agree if max(comps) > length(csNorm), error('Given normalizations does not match the components.') end if length(csNorm) ~= dim, error('Given normalizations does not match data dimension.') end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% action % undo the normalizations for i = comps, len = length(csNorm{i}); for j=len:-1:1, sN = csNorm{i}(j); if struct_mode, if strcmp(sN.status,'done'), [x,sN] = som_norm_variable(D(:,i), sN, 'undo'); D(:,i) = x; csNorm{i}(j) = sN; end else D(:,i) = som_norm_variable(D(:,i), sN, 'undo'); end end end % remove normalizations if struct_mode & remove_tag, for i = comps, csNorm{i} = []; end end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% %% output if struct_mode, switch sD.type case 'som_map', sD.codebook = D; case 'som_data', sD.data = D; otherwise, error('Illegal struct.') end sD.comp_norm = csNorm; else sD = D; end %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%