Rekodi ya ushahidi wa mbinu

Linear Discriminant Analysis (Classification)

Linear Discriminant Analysis (LDA) is a parametric supervised classification method that finds the linear combination of continuous predictors that best separates two or more predefined groups. Introduced by Ronald A. Fisher in his landmark 1936 paper on taxonomic measurements, it simultaneously serves as a classifier and a dimensionality-reduction tool, and can be understood as the classification-oriented counterpart of MANOVA.

Sources recorded, not reviewed

Rekodi ya chanzo

Nukuu zimehamishwa kwa uhalisi kutoka kwa rekodi ya chanzo cha mbinu. Hakuna uthibitisho wa kiwango cha dai unaodokezwa kutoka kwao.

Linear Discriminant Analysis (LDA — Classification)

Rekodi ya mbinu ya kiajenda · hypothesis-test / statistics

Fisher, R.A. (1936). The Use of Multiple Measurements in Taxonomic Problems. Annals of Eugenics, 7(2), 179–188. · DOI 10.1111/j.1469-1809.1936.tb02137.x

Fungua mbinu kamili

Madai yaliyotunzwa

Madai yamehifadhiwa katika daftari la ushahidi, kila moja ikiwa na tathmini yake.

Hakuna madai yaliyotunzwa bado

Mwonekano huu haubuni tathmini ya dai wakati daftari haina yoyote.

Mbinu zinazohusiana

Zilizotengenezwa kutoka kwa grafu ya mbinu na kuonyeshwa kama uhusiano uliopendekezwa na mashine — hakuna dai la ushahidi linalodokezwa.

See alsoFactor Analysismachine-suggested · Relational suggestion, not evidence.See alsoK-Nearest Neighborsmachine-suggested · Relational suggestion, not evidence.See alsoLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyMANOVAmachine-suggested · Relational suggestion, not evidence.See alsoNaive Bayesmachine-suggested · Relational suggestion, not evidence.See alsoPrincipal Component Analysismachine-suggested · Relational suggestion, not evidence.See alsoSupport Vector Machinemachine-suggested · Relational suggestion, not evidence.