Duba zuwa ga sashi a kasa, sa'an nan kuma amsa tambaya a baya a cikin wannan harshe kamar yadda sashi: Passage: Wani rikitarwa a cikin yin amfani da LDA da Fisher ta discriminant zuwa real data auku a lokacin da yawan ma'aunai na kowane samfurin (watau, da dimensionality na kowane bayanai vector) ya wuce yawan samfurori a kowane aji. A wannan yanayin, da covariance kimomi ba su da cikakken daraja, don haka ba za a iya jujjuya. Akwai da dama hanyoyin da za a magance wannan. Daya shi ne a yi amfani da wani pseudo inverse maimakon na yau da kullum matrix inverse a cikin sama dabara. Duk da haka, mafi alhẽri lamba kwanciyar hankali za a iya cimma ta farko tsinkaya da matsala a kan subspace spanned da Tambaya: Abin da irin inverse aka shawara a kan misali matrix inverse?
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