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New code 2012_01_13

posted Jan 13, 2012, 6:53 PM by Dan Jordy

 Look at this code and let me know what you think. I modified the 2x2LDA, 2 class code to do 4x4LDA, 7 class code. I haven't tested it yet, so if you have data I can use that for testing. If not, I'll try to make something up. 
Total: 4 hours

27Dec2011 Update

posted Dec 27, 2011, 6:01 PM by Dan Jordy

Total 2 hours
Created 2 programs, one to do the LDA pre-work (to determine the pooled covariance matrix) and one to do the testing on the new sample. Take a look and let me know what you think. This works on the 2x2 matrix. Some of the code needs to change if there are more/less # of samples.

19Dec2011 Update

posted Dec 19, 2011, 5:47 PM by Dan Jordy

1 hour:
Created functions to transition from input data to pooled covariance matrix.
Need to:
    Pass back results to main program.
    Remove hard-coded values to number of samples in each group.
    Create new function to evaluate test values
Program currently only takes in 2 groups, would need to extend to more groupings.

update 20Nov2011

posted Nov 20, 2011, 5:05 PM by Dan Jordy

Created code from spreadsheet named middleLDAtestc.xlt
File attached here. 

Update 05Nov2011

posted Nov 5, 2011, 1:00 PM by Dan Jordy   [ updated Nov 13, 2011, 1:02 PM ]

Update:
Started looking at C code again
 2011_11_13 - Completed Inverse work, total hours: 6
  • Determinant of 2x2 - done
  • Determinant of 4x4 - done
  • Inverse of 2x2 - done
  • Adjoint of 2x2 - done 
  • Inverse of 4x4 - done
Code to be uploaded today.

Update 19Jun2011

posted Jun 20, 2011, 4:53 AM by Dan Jordy

Looked at code again. Ran LDA program with 20 input points, and didn't get good results (before I just extended it to 20 data points and check for compiler errors).

Issue with input data I'm assuming; my input data was duplication of the example LDA data, to reach 20 data points. This duplication caused the program to crash (could not take the inverse of the covariance matrix). Perturbed some data from its original values, then was able to get a probability function result from it. Did not pursue the code further once I realized it was a data problem & not a software issue.

Update 31May2011

posted May 31, 2011, 7:10 AM by Dan Jordy

Modified code to use 20 input points for each movement. Need to now include movements in 9 different directions (states).

LDA code

posted May 18, 2011, 5:01 PM by Dan Jordy

Found looping error, now LDA discriminant function calculates correctly. Getting results as expected, using one of the calibration points as the sample point. Will now look at using "real" data, not sample data from tutorial

Time domain statistics funtions acsept arrays and vareables consolodated

posted May 2, 2011, 9:03 PM by Joshua Wojnas

Time domain statistics funtions acsept arrays and vareables consolodated.
So arrays can be passed into the time domain statistics functions
They all use a single for loop so that loop could be when the data is taken in.
Taking the mean is done at the end of the for loop.
Vareables are replaced with constants or macros where possible.

C code progress

posted Apr 29, 2011, 6:39 AM by Dan Jordy

Have globalmean, means of groups, & covariance matrices calculating. 
Need to complete:
  • pooled within group covariance matrix
  • prior probability matrix (if different than assumed pi = ni/N)
  • Discriminant function to determine grouping of new sample. 

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