Dear Marco

thanks for your feedback. The dimensionality reduction algorithms are not externals...simply abstraction, so, I guess you will not find any trouble running it on Linux. If you run it on pd-extended, I'm pretty sure you will not need other any external libraries, with the exception of gridflow for the computation of eigenvectors in PCA.

Look into earGramv0.18>dependencies>abs you will find all abstractions here, or just open the file _absOverview.

There's a couple of solutions for dimensionality reduction more or less complex such as:

self-organised maps (SOM)

PCA

haar

dct

random  projection

star centroid

and star coordinates (the only applied in earGram, actually)

best,

Gilberto

2013/11/6 Marco Donnarumma <lists@marcodonnarumma.com>

Hi Gilberto,

thanks for sharing your work!

I'm interested in looking at your dimensionality reduction objects, but I'm a Linux user. Any plan to port your work to Linux?

thanks!

best wishes,
M

--
Marco Donnarumma
New Media + Sonic Arts Practitioner, Performer, Teacher, Director.
Embodied Audio-Visual Interaction Research Team.
Department of Computing, Goldsmiths University of London
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
Portfolio: http://marcodonnarumma.com
Research: http://res.marcodonnarumma.com
Director: http://www.liveperformersmeeting.net

On Sat, Oct 26, 2013 at 1:56 PM, Gilberto Bernardes <bernardes7@gmail.com> wrote:

Hi,

I’m working on a project for my PhD that recombines audio segments according to pre-defined generative methods. For those familiarised with concatenative sound synthesis, earGram reformulates the notion of unit selection algorithms to encompass generative music strategies. It relies heavily on timbreID  a known library for PD by William Brent.

So, here's the website that hosts the project:

https://sites.google.com/site/eargram/

You can find project examples in the download section as well. P

In addition there are plenty of abstractions that may interest you, in particular clustering and dimensionality reduction algorithms...

As you can guess, I would like to get feedbacks and advises.


Best,

Gilberto Bernardes

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