calculates the fuzzy quantization error.
[QuantizationError] = FuzzyQuantizationError(Samples, Centers, Memberships, NormType, Blending)
matrix, contains sample vectors as rows
matrix, contains cluster centers as rows
membership values of the samples (rows) in the clusters (columns)
norm of vectors, must be a scalar greater than zeros, can be %inf
exponent applied to memberships. This parameter is optional. The default value is two.
the resulting fuzzy quantization error
This function calculates the fuzzy quantization error.
global CLUSTER_PATH; Source = read_csv(CLUSTER_PATH + 'demos\IrisData.csv', ascii(9)); Samples = strtod(Source(:, 1 : 4)); InitialCenters = SelectRandomly(Samples, 5); [Centers Memberships] = FuzzyCMeans(Samples, InitialCenters, 2, 'iterations', 10); QuantizationError = FuzzyQuantizationError(Samples, Centers, Memberships, 2) | ![]() | ![]() |
Richard O. Duda, Peter E. Hart, David G. Stork, 'Pattern Classification', John Wiley & Sons Inc., New York, Chichester, Weinheim, Brisbane, Singapore, Toronto, Second Edition, 2001