wcc
(Package: wccsom) :
Agreement between patterns including peak shifts
Weighted cross correlation and autocorrelation, as described in De Gelder et al. (2001), for assessing similarities in spectra-like data containing peak shifts. Euclidean distances are useless in this situation.
● Data Source:
CranContrib
● Keywords: classif
● Alias: wac, wacmat, wcc
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wccxyf
(Package: wccsom) :
Supervised mapping of spectra with self-organising maps
Supervised self-organising maps for mapping high-dimensional spectra or patterns to 2D; instead of Euclidean distance, the weighted cross correlation (WCC) similarity measure is used. Modelled after the SOM function in package 'class'. wccxyf takes 'continous' patterns, i.e. datapoints are equidistant.
● Data Source:
CranContrib
● Keywords: classif
● Alias: wccxyf
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0 images
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predict.wccsom
(Package: wccsom) :
Predict properties from self-organising maps
Function to predict property values for every unit in a supervised or unsupervised SOM. These, in turn, are used to provide predictions for individual objects.
● Data Source:
CranContrib
● Keywords: classif
● Alias: predict.wccsom
●
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wccmap
(Package: wccsom) :
Map one powder pattern to a trained Kohonen map
Function calculates the agreement - as measured by WCC - of a powder pattern to all units in a network (SOM or XYF).
● Data Source:
CranContrib
● Keywords: classif
● Alias: wccmap
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0 images
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wccassign
(Package: wccsom) :
Assign patterns to nodes in a SOM network by WCC value
KNN assignment of patterns to units in a Kohonen map, with maximal WCC as the criterion.
● Data Source:
CranContrib
● Keywords: classif
● Alias: wccassign
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0 images
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summary.wccsom
(Package: wccsom) :
Summarizing wccsom objects
Summary for objects of class '"wccsom"'
● Data Source:
CranContrib
● Keywords: classif
● Alias: summary.wccsom
●
0 images
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unit.distances
(Package: wccsom) :
Function to calculate distances between units in a SOM
Function calculates Euclidean distances between units in a SOM; if argument '"toroidal"' is TRUE, the edges of the map are considered to be joined so that the overal shape of the map is a torus. The distances are calculated correspondingly.
● Data Source:
CranContrib
● Keywords: classif
● Alias: unit.distances
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Internal tools functions.
● Data Source:
CranContrib
● Keywords: internal
● Alias: plot.somgrid, wcc.kmeans
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expand
(Package: wccsom) :
Expand a SOM network
Increases the size of a network by a factor of 2 in both x and y directions; code vectors for new units are interpolated.
● Data Source:
CranContrib
● Keywords: classif
● Alias: expand
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0 images
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wccsom
(Package: wccsom) :
Mapping spectra with self-organising maps
Self-organising maps for mapping high-dimensional spectra or patterns to 2D; instead of Euclidean distance, the weighted cross correlation (WCC) similarity measure is used. Modelled after the SOM function in package 'class'. wccsom takes 'continous' patterns, i.e. datapoints are equidistant.
● Data Source:
CranContrib
● Keywords: classif
● Alias: wccsom
●
0 images
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providing 
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