newLISP Development release 10.5.2

Notices and updates

newLISP Development release 10.5.2

Postby Lutz » Tue Jun 25, 2013 9:31 pm

This development release fixes bugs and introduces functions for Kmeans cluster analysis.

With the already existing bayes-train, bayes-query and the new kmeans-train and kmeans-query functions, newLISP now implements 2 of the most - or even the 2 most - used machine-learning algorithms as fast native functions.

Changes notes and files: http://www.newlisp.org/downloads/development/

Ps: Users of 10.5.0 who use the bigint functions system should also switch to v.10.5.2 (the fixes where already in v.10.5.1)
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Re: newLISP Development release 10.5.2

Postby HPW » Wed Jun 26, 2013 12:38 pm

Typo in release notes:
After Jave update 7u21, install directory names could not have spaces.


After Java update 7u21, install directory names could not have spaces.
Hans-Peter
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Re: newLISP Development release 10.5.2

Postby Lutz » Fri Jun 28, 2013 2:55 pm

Thanks HPW, I wonder if anybody is planning to use the new kmeans-train and kmeans-query functions?
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Re: newLISP Development release 10.5.2

Postby johu » Sat Jun 29, 2013 7:09 am

Hello, Lutz.

For the manual of Maintenance Release.

line 6548
<td>calculate distances to cluster centroids or other data points</td>
   ↓
<td>calculates distances to cluster centroids or other data points</td>

line 6553
<td>partion a data set into clusters</td>
   ↓
<td>partitions a data set into clusters</td>

And
crit-t calculates the Student's t statistic for a given probability
kmeans-query calculate distances to cluster centroids or other data points
kmeans-train partion a data set into clusters
crit-z calculates the normal distributed Z for a given probability
is
crit-t calculates the Student's t statistic for a given probability
crit-z calculates the normal distributed Z for a given probability
kmeans-query calculate distances to cluster centroids or other data points
kmeans-train partion a data set into clusters
maybe.

line 16387
syntax: (kmeans-query <em>list-data</em> <em>matix-data</em></h4>
                              ↓
syntax: (kmeans-query <em>list-data</em> <em>matix-data</em>)</h4>


I think that "Eucledian distance" equals "Euclidean distance".
Both seem to be used in the web, and in Wikipadia
http://en.wikipedia.org/wiki/Euclidean_distance

I don't know which common.
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Re: newLISP Development release 10.5.2

Postby Lutz » Sat Jun 29, 2013 2:00 pm

Thanks Johu, all corrections online:

http://www.newlisp.org/downloads/develo ... anual.html
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