Example 11 - verbose

[rodrigo.constanzo]

@weefuzzy

Standardising is canon here, but normalising is better than nothing. What PCA really likes is for the data to have 0 mean, and it doesn’t hurt if their ranges / variances are in the same ball park

Ok, good to know.

So that basically means we’re looking at:
[audio]->[descriptor(s)]->[weighting]->[stats]->[flatten]->[prune]->[standardize]->[pca]->[(merge with others)]->[normalize]->[query/whatever]
?

@weefuzzy

recursive

It was just that. Thankfully all the clues helped, but it was tricky to follow since things jumped around and were reused in places. Plus all the ;notation too!

@weefuzzy

I think @tremblap’s intuition with the normalising was that rescaling the pitch upwards should de-prioritise it in the KD tree look up (because the relative distances would be greater). As with Example 10, probably best to view this as a hypothesis in progress…

Is this in response to the weighing (weighting? (actually, are we using weight/weighing to mean two separate things now? (e.g. loudness-weighted descriptors vs weighing parameters in a query))) question or to the normalization stuff, or just a general comment?