tag:blogger.com,1999:blog-37324607.post6336291720407435833..comments2023-11-03T08:31:23.698-04:00Comments on Data Mining in MATLAB: MATLAB 2009aWill Dwinnellhttp://www.blogger.com/profile/03379859054257561952noreply@blogger.comBlogger3125tag:blogger.com,1999:blog-37324607.post-63422055231561882322009-04-20T17:31:00.000-04:002009-04-20T17:31:00.000-04:00what do you mean of multiple keys?
for example if ...what do you mean of multiple keys?<br />for example if I have a table of<br />[ mon 4 6<br /> tue 7 9<br /> wed 6 6]<br />and a second table of<br />[ 6 mum<br /> 9 dad]<br />can I join the two tables of different size via their common key (6, 9)<br />[ mon 4 6 mum<br /> tue 7 9 dad<br /> wed 8 8 mum]<br />and if yes how?Unknownhttps://www.blogger.com/profile/09696909016894637225noreply@blogger.comtag:blogger.com,1999:blog-37324607.post-50916749501997178092009-04-01T18:15:00.000-04:002009-04-01T18:15:00.000-04:00Yes, I've continued to experimetn with the Paralle...Yes, I've continued to experimetn with the Parallel Computing Toolbox and have found accelerations in some cases of 8-to-1.Will Dwinnellhttps://www.blogger.com/profile/03379859054257561952noreply@blogger.comtag:blogger.com,1999:blog-37324607.post-42893878653941948012009-04-01T16:51:00.000-04:002009-04-01T16:51:00.000-04:00What I like about the latest releases (especially ...What I like about the latest releases (especially since R2008a) is the added multithreading support for matrix operations. If you use a lot of vector math (and I do), this is a huge advantage, especially when working on quad core machines. It can even eliminate the need for distributed computing!<BR/><BR/>According to the release notes, in this version <I>the MATLAB functions for Fourier transforms fft, fft2, and fftn, and their inverses ifft, ifft2, and ifftn are now multithreaded. In addition, the MATLAB functions prod, sum, max, and min are multithreaded.</I>Keeshttps://www.blogger.com/profile/13865650396598570288noreply@blogger.com