function sMap = som_map_struct(dim, varargin) %SOM_MAP_STRUCT Create map struct. % % sMap = som_map_struct(dim, [[argID,] value, ...]) % % sMap = som_map_struct(4); % sMap = som_map_struct(4,'msize',[3 4],'hexa','sheet'); % sMap = som_map_struct(4,'msize',[3 4 5],'rect','name','a 3D-SOM'); % sMap = som_map_struct(4,'msize',[3 4],'bubble','mask',[1 1 1 0]); % % Input and output arguments ([]'s are optional): % dim (scalar) input space dimension % [argID, (string) See below. The values which are unambiguous can % value] (varies) be given without the preceeding argID. % % sMap (struct) self-organizing map struct % % Here are the valid argument IDs and corresponding values. The values % which are unambiguous (marked with '*') can be given without the % preceeding argID. % 'mask' (vector) BMU search mask, size dim x 1 % 'msize' (vector) map grid size, default is [0] % 'labels' (string array / cellstr) labels for each map unit, % length=prod(msize) % 'name' (string) map name % 'comp_names' (string array / cellstr) component names, size dim x 1 % 'comp_norm' (cell array) normalization operations for each % component, size dim x 1. Each cell is either empty, % or a cell array of normalization structs. % 'topol' *(struct) topology struct % 'som_topol','sTopol' = 'topol' % 'lattice' *(string) map lattice, 'hexa' or 'rect' % 'shape' *(string) map shape, 'sheet', 'cyl' or 'toroid' % 'neigh' *(string) neighborhood function, 'gaussian', 'cutgauss', % 'ep' or 'bubble' % % For more help, try 'type som_map_struct' or check out online documentation. % See also SOM_SET, SOM_INFO, SOM_DATA_STRUCT, SOM_TOPOL_STRUCT, SOM_MAKE. %%%%%%%%%%%%% DETAILED DESCRIPTION %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % % som_map_struct % % PURPOSE % % Creates a self-organizing map structure. % % SYNTAX % % sM = som_map_struct(dim) % sM = som_map_struct(...,'argID',value,...); % sM = som_map_struct(...,value,...); % % DESCRIPTION % % Creates a self-organizing map struct. The struct contains the map % codebook, labels, topology, information on normalization and training, % as well as component names and a name for the map. The obligatory % parameter is the map dimension. Most of the other fields can be % given values using optional arguments. If they are left unspecified, % default values are used. % % Field Type Size / default value (munits = prod(msize)) % ------------------------------------------------------------------------ % .type (string) 'som_map' % .name (string) 'SOM date' % .codebook (matrix) rand(munits, dim) % .topol (struct) topology struct, with the following fields % .type (string) 'som_topol' % .msize (vector) size k x 1, [0] % .lattice (string) 'hexa' % .shape (string) 'sheet' % .labels (cellstr) size munits x m, {''; ''; ... ''} % .neigh (string) 'gaussian' % .mask (vector) size dim x 1, [1; 1; ...; 1] % .trainhist (cell array) size tl x 1, [] % .comp_names (cellstr) size dim x 1, {'Variable1', 'Variable2', ...} % .comp_norm (cell array) size dim x 1, {[], [], ... []} % % '.type' field is the struct identifier. Do not change it. % '.name' field is the identifier for the whole map struct % '.codebook' field is the codebook matrix, each row corresponds to one unit % '.topol' field is the topology of the map. This struct has three fields: % '.msize' field is the dimensions of the map grid. Note that the % matrix notation of indeces is used. % '.lattice' field is the map grid lattice % '.shape' field is the map grid shape % '.labels' field contains the labels for each of the vectors. The ith row % of '.labels' contains the labels for ith map unit. Note that % if some vectors have more labels than others, the others are % are given empty labels ('') to pad the '.labels' array up. % '.neigh' field is the neighborhood function. % '.mask' field is the BMU search mask. % '.trainhist' field contains information on the training. It is a cell % array of training structs. The first training struct contains % information on initialization, the others on actual trainings. % If the map has not been initialized, '.trainhist' is empty ([]). % '.comp_names' field contains the names of the vector components % '.comp_norm' field contains normalization information for each % component. Each cell of '.comp_norm' is itself a cell array of % normalization structs. If no normalizations are performed for % the particular component, the cell is empty ([]). % % REQUIRED INPUT ARGUMENTS % % dim (scalar) Input space dimension. % % OPTIONAL INPUT ARGUMENTS % % argID (string) Argument identifier string (see below). % value (varies) Value for the argument (see below). % % The optional arguments are given as 'argID',value -pairs. If the % value is unambiguous (marked below with '*'), it can be given % without the preceeding argID. If an argument is given value % multiple times, the last one is used. % % 'mask' (vector) BMU search mask, size dim x 1 % 'msize' (vector) map grid size, default is [0] % 'labels' (string array / cellstr) labels for each map unit, % length=prod(msize) % 'name' (string) map name % 'comp_names' (string array / cellstr) component names, size dim x 1 % 'comp_norm' (cell array) normalization operations for each % component, size dim x 1. Each cell is either empty, % or a cell array of normalization structs. % 'lattice' *(string) map lattice, 'hexa' or 'rect' % 'shape' *(string) map shape, 'sheet', 'cyl' or 'toroid' % 'topol' *(struct) topology struct, sets msize, lattice and shape % 'som_topol','sTopol' = 'topol' % 'neigh' *(string) neighborhood function, 'gaussian', 'cutgauss', % 'ep' or 'bubble' % % OUTPUT ARGUMENTS % % sMap (struct) the map struct % % EXAMPLES % % Simplest case: % sMap = som_map_struct(3); % % With optional arguments, the other fields can be given values: % sTo = som_set('som_topol','msize',[10 5]); % labs = cell(50, 1); labs{1, 1} = 'first_unit'; % cnames = {'first'; 'second'; 'third'}; % sN = som_set('som_norm'); % csN = {sN; sN; sN}; % % sMap = som_map_struct(3,'msize',[10 5],'rect'); % sMap = som_map_struct(3,'msize',[10 5],'lattice','rect'); % sMap = som_map_struct(3,sTo,'bubble','labels',labs); % sMap = som_map_struct(3,sTo,'comp_names',cnames); % sMap = som_map_struct(3,sTo,'name','a data struct'); % sMap = som_map_struct(3,sTo,'comp_norm',csN,'mask',[1 0 0.5]); % % SEE ALSO % % som_set Set values and create SOM Toolbox structs. % som_data_struct Create a data struct. % som_make Initialize and train self-organizing map. % som_topol_struct Default values for map topology. % Copyright (c) 1997-2000 by the SOM toolbox programming team. % http://www.cis.hut.fi/projects/somtoolbox/ % Version 1.0beta ecco 100997 % Version 2.0beta juuso 101199 130300 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% % default values sTopol = som_set('som_topol','lattice','hexa','shape','sheet'); neigh = 'gaussian'; mask = ones(dim,1); name = sprintf('SOM %s', datestr(now, 1)); labels = cell(prod(sTopol.msize),1); for i=1:length(labels), labels{i} = ''; end comp_names = cell(dim,1); for i = 1:dim, comp_names{i} = sprintf('Variable%d', i); end comp_norm = cell(dim,1); % varargin i=1; while i<=length(varargin), argok = 1; if ischar(varargin{i}), switch varargin{i}, % argument IDs case 'mask', i=i+1; mask = varargin{i}; case 'msize', i=i+1; sTopol.msize = varargin{i}; case 'labels', i=i+1; labels = varargin{i}; case 'name', i=i+1; name = varargin{i}; case 'comp_names', i=i+1; comp_names = varargin{i}; case 'comp_norm', i=i+1; comp_norm = varargin{i}; case 'lattice', i=i+1; sTopol.lattice = varargin{i}; case 'shape', i=i+1; sTopol.shape = varargin{i}; case {'topol','som_topol','sTopol'}, i=i+1; sTopol = varargin{i}; case 'neigh', i=i+1; neigh = varargin{i}; % unambiguous values case {'hexa','rect'}, sTopol.lattice = varargin{i}; case {'sheet','cyl','toroid'}, sTopol.shape = varargin{i}; case {'gaussian','cutgauss','ep','bubble'}, neigh = varargin{i}; otherwise argok=0; end elseif isstruct(varargin{i}) & isfield(varargin{i},'type'), switch varargin{i}(1).type, case 'som_topol', sTopol = varargin{i}; otherwise argok=0; end else argok = 0; end if ~argok, disp(['(som_map_struct) Ignoring invalid argument #' num2str(i+1)]); end i = i+1; end % create the SOM codebook = rand(prod(sTopol.msize),dim); sTrain = som_set('som_train','time',datestr(now,0),'mask',mask); sMap = som_set('som_map','codebook',codebook,'topol',sTopol,... 'neigh',neigh,'labels',labels,'mask',mask,... 'comp_names',comp_names,'name',name,... 'comp_norm',comp_norm,'trainhist',sTrain); %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%