PDL::OpenCV wraps a kmeans function, so that might also help.
Best regards,
Ed
________________________________
From: Boyd Duffee <[email protected]>
Sent: Wednesday, November 22, 2023 12:19 PM
To: Aldobranti <[email protected]>
Cc: [email protected] <[email protected]>
Subject: Re: [Pdl-general] getting started with K-means
Hi Aldo,
The documentation is pretty good. You can change the number of clusters like so
my $k = $pdl->kmeans( {NCLUS => 10} );
There are also a few blog posts that show some of the process from a learners'
perspective
https://blogs.perl.org/users/enkidu/2019/12/its-beginning-to-look-a-lot-like-k-means.html
There's not a lot of examples out there, so if you can blog your experience
(good or bad), that'll add to the available docs for the next person.
dev.to<http://dev.to> gets a lot of exposure these days.
best of luck,
Boyd
On Wed, 22 Nov 2023 at 10:48, Aldobranti
<[email protected]<mailto:[email protected]>> wrote:
my problem area is to analyse electrical power switching events and tie back
readings of reactive and resistive loads aiming to point back at specific items
of plant hardware.
So I thought cluster analysis and got a steer towards PDL
In a perl script I write
use PDL::Stats::KMeans;
...
my $sql = "select resistv_chg,reactv_chg from metered_events where
matched_event_id is not null";
my $pdl = rdbi2D( $dbh, $sql ); # pdl info tells me that i have a 2D array of
~ 1400 x 2
my $k = $pdl->kmeans( {} );
First up I see that this is not unrestrained -- the default of NCLUS is 3 and
[seems to me] that I am being defeated in trying to identify between 10 and 20
clusters associated with the electrical characteristics of the 10 - 20 items in
my plant
being a simple minded chap all I want is an array[10] of mean and stdvars for
the data set
Could anybody spare the time to get me started?
Aldo
--
Aldobranti: A performance in digital social media and large sheets of
photographic film https://aldobranti.org
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Boyd Duffee
No pain, no French bread - Teresa Monachino
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