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newLISP Fan Club

Forum => newLISP newS => Topic started by: Lutz on June 25, 2013, 02:31:14 PM

Title: newLISP Development release 10.5.2
Post by: Lutz on June 25, 2013, 02:31:14 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)
Title: Re: newLISP Development release 10.5.2
Post by: HPW on June 26, 2013, 05:38:25 AM
Typo in release notes:
QuoteAfter Jave update 7u21, install directory names could not have spaces.


QuoteAfter Java update 7u21, install directory names could not have spaces.
Title: Re: newLISP Development release 10.5.2
Post by: Lutz on June 28, 2013, 07:55:58 AM
Thanks HPW, I wonder if anybody is planning to use the new kmeans-train and kmeans-query functions?
Title: Re: newLISP Development release 10.5.2
Post by: johu on June 29, 2013, 12:09:24 AM
Hello, Lutz.



For the manual of Maintenance Release.



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

　　　↓

<td>calculates distances to cluster centroids or other data points</td>

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

　　　↓

<td>partitions a data set into clusters</td>

And
Quotecrit-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
Quotecrit-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
Quotesyntax: (kmeans-query list-data matix-data</h4>

　　　　　　　　　　　　　　　　　　　　　　　　　　　　　　↓

syntax: (kmeans-query list-data matix-data)</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.
Title: Re: newLISP Development release 10.5.2
Post by: Lutz on June 29, 2013, 07:00:27 AM
Thanks Johu, all corrections online:



http://www.newlisp.org/downloads/development/newlisp_manual.html
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