Ways of finding the ideal number of clusters in a corpus

[rodrigo.constanzo]

@yogi

Cheers, this sounds like a good way to explore, I wouldn’t have thought of that.

Let me know how that works. Sadly, computing the mean of a cluster its a lot more awkward than it seems. I’m sure this is not the optimal approach, but I remember struggling with this over in this thread, writing my process here.

@yogi

I watched most of our videos while learning about Flucoma, great source of inspiration. Also I’m using Pure Data not Max,on linux, each time I want to learn about use with percussive material I look into your sp-tools for pd! Very instructive, I wish you implemented all sp/dk tools in Pd, I have a tiny laptop with Windows on it so I can check Max patches, on a tiny screen though.

I plan on adapting more, I just struggle when it comes to some of the sound generating things (e.g. polyphonic sample playback) in pd.

For dk.corpusclustermatch it’s fairly straightforward. The only fussy bits of the patch is the sorting of the clusters by different criteria. Independent of that, it’s just vanilla clustering from FluComa stuff, then selecting a random item from each cluster.