lues/vectors, anything
> else?
>
>
> --- On Wed, 25/6/08, Gundala Viswanath <[EMAIL PROTECTED]> wrote:
>
>> From: Gundala Viswanath <[EMAIL PROTECTED]>
>> Subject: [R] Measuring Goodness of a Matrix
>> To: [EMAIL PROTECTED]
>> Received: Wednesday, 2
What do you mean by "A similar to X"?
Do you mean norm of the difference, similar eigenvalues/vectors, anything else?
--- On Wed, 25/6/08, Gundala Viswanath <[EMAIL PROTECTED]> wrote:
> From: Gundala Viswanath <[EMAIL PROTECTED]>
> Subject: [R] Measuring Goodn
Hi Gundala,
>> Suppose I have 2 matrices A and B.
>> And I want to measure how good each of this matrix is.
You really want to be using Robert & Escoufier's RV-coefficient (A unifying
tool for linear multivariate statistical methods: The $RV$-coefficient Appl.
Statist., 1976, 25, 257-265).
Seve
on 06/24/2008 09:41 AM Gundala Viswanath wrote:
Hi all,
Suppose I have 2 matrices A and B.
And I want to measure how good each of this matrix is.
So I intend to compare A and B with another "gold standard"
matrix X. Meaning the more similar a matrix to X the better it is.
What is the common wa
Gundala Viswanath wrote:
> Hi all,
>
> Suppose I have 2 matrices A and B.
> And I want to measure how good each of this matrix is.
>
> So I intend to compare A and B with another "gold standard"
> matrix X. Meaning the more similar a matrix to X the better it is.
>
> What is the common way in R to
Hi all,
Suppose I have 2 matrices A and B.
And I want to measure how good each of this matrix is.
So I intend to compare A and B with another "gold standard"
matrix X. Meaning the more similar a matrix to X the better it is.
What is the common way in R to
measure matrix similarity (ie. A vs X, a
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