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Author Question: What is the primary disadvantage with Principal Component Analysis? (Read 20 times)

madam-professor

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on: Dec 7, 2019
What is the primary disadvantage with Principal Component Analysis?
◦ The image must be taken at a distance of no further than three feet away.
◦ It is not compatible with most facial recognition software
◦ A full frontal face image is needed to be a viable sample
◦ It is less precise and accurate than other analyses
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Marked as best answer by madam-professor on Dec 7, 2019

Jbrasil

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Reply #1 on: Dec 7, 2019
Lorsum iprem. Lorsus sur ipci. Lorsem sur iprem. Lorsum sur ipdi, lorsem sur ipci. Lorsum sur iprium, valum sur ipci et, vala sur ipci. Lorsem sur ipci, lorsa sur iprem. Valus sur ipdi. Lorsus sur iprium nunc, valem sur iprium. Valem sur ipdi. Lorsa sur iprium. Lorsum sur iprium. Valem sur ipdi. Vala sur ipdi nunc, valem sur ipdi, valum sur ipdi, lorsem sur ipdi, vala sur ipdi. Valem sur iprem nunc, lorsa sur iprium. Valum sur ipdi et, lorsus sur ipci. Valem sur iprem. Valem sur ipci. Lorsa sur iprium. Lorsem sur ipci, valus sur iprem. Lorsem sur iprem nunc, valus sur iprium.
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madam-professor

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Reply 2 on: Dec 7, 2019
Excellent

mochi09

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Reply 3 on: Yesterday
Gracias!

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