[vtkusers] [EXTERNAL] vtkMultiCorrelativeStatistics
Darshan Pai
darshanpai at gmail.com
Thu May 3 14:57:53 EDT 2012
Thanks David for the explanation . That makes things clearer .
On Thu, May 3, 2012 at 1:37 PM, David Thompson <dcthomp at sandia.gov> wrote:
> Hi Darshan,
>
> I was just goings through the Testing Cxx for
>> vtkMultiCorrelativeteStatistic**s class . ... tables below ...
>>
>> I am trying to understand the result in the Derived Statistics part . In
>> the Derived Statistics 0 the Cholesky value for M1,M1 , which is the result
>> in the last column , last row , the output is 1.11199 , If I understand
>> correctly , the answer should be sqrt(7.54) = 2.74 , isn't it ? Just
>> wondering about the result.
>>
>
>
> I believe the values in the table are correct, if perhaps a little
> difficult to parse. The covariance matrix -- of which only the upper
> triangle of the symmetric matrix is presented in the table below -- is
>
> 5.9829 6.1452
> 6.1452 7.5484
>
> The Cholesky factorization of this matrix is
>
> 2.44599 2.51234
> 0.00000 1.11199
>
> whose transpose is presented below the covariance matrix as
>
> 2.44599 --
> 2.51234 1.11199
>
> (where I've put "--" in place of the covariance entry reported by VTK).
>
> When I multiply the above by its transpose, I get the original, symmetric
> covariance matrix. The actual relationship between the covariance entry and
> its Cholesky decomposition is 7.54839 = 2.51234**2 + 1.11199**2 because the
> transpose leaves both terms in the Cholesky matrix row-column product
> non-zero.
>
>
> Also in the Primary Statistics , what are those values after row 4 ...
>>
>
> Those are the sums of centered moments used to derive the covariance
> matrices. Dividing by (Cardinality - 1) will get you the covariance matrix
> entry. For example, take the M0,M0 entry of row 5: 185.469 / (32-1) ==
> 5.98286.
>
> David
>
>
> Primary Statistics
>> +-----------------+-----------**------+------------------+
>> | Column1 | Column2 | Entries |
>> +-----------------+-----------**------+------------------+
>> | Cardinality | | 32 |
>> | M0 | | 49.2188 |
>> | M1 | | 49.5 |
>> | M2 | | -1.00003 |
>> | M0 | M0 | 185.469 |
>> | M0 | M1 | 190.5 |
>> | M0 | M2 | -0.00278125 |
>> | M1 | M1 | 234 |
>> | M1 | M2 | -0.0045 |
>> | M2 | M2 | 9.6875e-007 |
>> +-----------------+-----------**------+------------------+
>> Derived Statistics 0
>> +-----------------+-----------**------+-----------------+-----**
>> -------------+
>> | Column | Mean | M0 | M1 |
>> +-----------------+-----------**------+-----------------+-----**
>> -------------+
>> | M0 | 49.2188 | 5.98286 | 6.14516 |
>> | M1 | 49.5 | 2.44599 | 7.54839 |
>> | Cholesky | 32 | 2.51234 | 1.11199 |
>> +-----------------+-----------**------+-----------------+-----**
>> -------------+
>> Derived Statistics 1
>> +-----------------+-----------**------+-----------------+-----**
>> ------------+-------
>> -----------+
>> | Column | Mean | M0 | M1 |
>> M2
>> |
>> +-----------------+-----------**------+-----------------+-----**
>> ------------+-------
>> -----------+
>> | M0 | 49.2188 | 5.98286 | 6.14516 |
>> -8.971
>> 77e-005 |
>> | M1 | 49.5 | 2.44599 | 7.54839 |
>> -0.000
>> 145161 |
>> | M2 | -1.00003 | 2.51234 | 1.11199 |
>> 3.125e
>> -008 |
>> | Cholesky | 32 | -3.66795e-005 | -4.7671e-005 |
>> 0.0001
>> 66229 |
>> +-----------------+-----------**------+-----------------+-----**
>> ------------+-------
>>
>>
>
>
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