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MLIP L37 Principal Component Analysis (PCA) 

Gorthi Subrahmanyam
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This lecture introduces the concept of Principal Component Analysis (PCA) for dimensionality reduction. The mathematical derivation of PCA is presented based on maximizing the variance of the orthogonally projected points or minimizing the error in the lengths of orthogonal projections.

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16 сен 2024

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Комментарии : 2   
@hariharannair3281
@hariharannair3281 2 года назад
sir i passed the medical image analysis course in nptel (iit kharagpur) with decent marks. ii am indebted to you sir, for all the doubts u cleared and that too in record time. because of that i could succeed. thanks a tonne sir. i dont have your email id thus using this public forum to thank you. you are doing a great service to the youth of today sir. god bless u
@GorthiSubrahmanyam
@GorthiSubrahmanyam 2 года назад
It is very gratifying for me to know that the shared videos are useful. Thank you for your appreciation and giving your feedback. Hearty Congratulations for clearing the exam, and wish you all the very best.
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