newLISP Development release 10.5.2

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Lutz
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newLISP Development release 10.5.2

Post by Lutz »

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)

HPW
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Re: newLISP Development release 10.5.2

Post by HPW »

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

Lutz
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Re: newLISP Development release 10.5.2

Post by Lutz »

Thanks HPW, I wonder if anybody is planning to use the new kmeans-train and kmeans-query functions?

johu
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Re: newLISP Development release 10.5.2

Post by johu »

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.

Lutz
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Re: newLISP Development release 10.5.2

Post by Lutz »

Thanks Johu, all corrections online:

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

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