Re: [R] Efficient way to convert covariance to Euclidian distance matrix

2013-11-02 Thread Jari Oksanen
Rolf Turner r.turner at auckland.ac.nz writes: On 10/31/13 23:14, Takatsugu Kobayashi wrote: I am struggling to come up with an efficient vectorized way to convert 20Kx20K covariance matrix to a Euclidian distance matrix as a surrogate for dissimilarity matrix. Hopefully I can apply

[R] Efficient way to convert covariance to Euclidian distance matrix

2013-10-31 Thread Takatsugu Kobayashi
Hi RUsers, I am struggling to come up with an efficient vectorized way to convert 20Kx20K covariance matrix to a Euclidian distance matrix as a surrogate for dissimilarity matrix. Hopefully I can apply multidimensional scaling for mapping these 20K points (commercial products). I understand that

Re: [R] Efficient way to convert covariance to Euclidian distance matrix

2013-10-31 Thread S Ellison
-Original Message- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Takatsugu Kobayashi I am struggling to come up with an efficient vectorized way to convert 20Kx20K covariance matrix to a Euclidian distance matrix as a surrogate for

Re: [R] Efficient way to convert covariance to Euclidian distance matrix

2013-10-31 Thread Rolf Turner
On 10/31/13 23:14, Takatsugu Kobayashi wrote: Hi RUsers, I am struggling to come up with an efficient vectorized way to convert 20Kx20K covariance matrix to a Euclidian distance matrix as a surrogate for dissimilarity matrix. Hopefully I can apply multidimensional scaling for mapping these 20K

Re: [R] Efficient way to convert covariance to Euclidian distance matrix

2013-10-31 Thread Takatsugu Kobayashi
Thanks all. I will get real and try to reduce the size of covariance matrix. Taka On Fri, Nov 1, 2013 at 8:01 AM, Rolf Turner r.tur...@auckland.ac.nz wrote: On 10/31/13 23:14, Takatsugu Kobayashi wrote: Hi RUsers, I am struggling to come up with an efficient vectorized way to convert