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List of top Remote Sensing Questions on Principal Component Analysis (PCA)

Principal Component Analysis (PCA) is applied on reflectance values obtained from seven bands. The following are the resultant eigenvalues:
0.39, 3.76, 13.10, 0.67, 101.00, 0.21, 0.12
The minimum number of principal components required to achieve at least 99% of total variance explained by seven bands is _____ (Answer in integer).
  • GATE GE - 2026
  • GATE GE
  • Remote Sensing
  • Principal Component Analysis (PCA)
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