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Possible Duplicate:
Making sense of principal component analysis, eigenvectors & eigenvaluesMaking sense of principal component analysis, eigenvectors & eigenvalues

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?

Possible Duplicate:
Making sense of principal component analysis, eigenvectors & eigenvalues

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?

Possible Duplicate:
Making sense of principal component analysis, eigenvectors & eigenvalues

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?
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Community Bot
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  • 1

Possible Duplicate:
Making sense of principal component analysis, eigenvectors & eigenvalues

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?

Possible Duplicate:
Making sense of principal component analysis, eigenvectors & eigenvalues

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?
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Jeromy Anglim
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Confusion related to PCA How are eigenvectors and eigen vectorsprincipal components related?

I am currently going through thea PCA tutorial. HOweverHowever, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

However, I didn't get how the eigen vectors and the principal components are related. How come finding the covariance matrix from the data and its eigen vectors are the principal components. I am a beginner. Any insights

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?

Confusion related to PCA and eigen vectors

I am currently going through the PCA tutorial. HOwever, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

However, I didn't get how the eigen vectors and the principal components are related. How come finding the covariance matrix from the data and its eigen vectors are the principal components. I am a beginner. Any insights

How are eigenvectors and principal components related?

I am currently going through a PCA tutorial. However, I am a bit confused. For PCA, we calculate the covariance matrix and then find the eigen vectors and eigen values of the covariance matrix. These vectors are the principal components.

  • How are the eigenvectors and the principal components related?
  • Why does finding the covariance matrix from the data and its eigenvectors are the principal components?
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user31820
user31820
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