Unsupervised classification by spectral ICA
Harold H Szu · 2003
Unsupervised classification is defined such that the information required to do so must be learned and derived directly and solely from the data alone, this is consistent with the classical definition "unlabelled data" ATR by Duda and Hart. Such a truly unsupervised methodology is presented for space-variant imaging for breast cancer detection by means of a spectral-ICA methodology rather than by spatial-ICA for space-invariant imaging.