# Nmf question (bases mode)

**URL:** <https://discourse.flucoma.org/t/nmf-question-bases-mode/509>\
**Category:** Usage Questions\
**Created:** [June 6, 2020, 4:35pm UTC](https://discourse.flucoma.org/t/nmf-question-bases-mode/509 "2020-06-06T16:35:08Z")\
**Posts on this page:** 1\
**Showing post:** 11

<div class="post-metadata">

**Author:** ![tremblap](https://discourse.flucoma.org/user_avatar/discourse.flucoma.org/tremblap/32/5_2.png) [@tremblap](https://discourse.flucoma.org/u/tremblap)\
**Post date:** [June 9, 2020, 7:55am UTC](https://discourse.flucoma.org/t/nmf-question-bases-mode/509/11 "2020-06-09T07:55:53Z")

</div>

> [@tutschku](#):
>
> I’m thinking of running mfcc or melbands on each of the 100 channels and then cluster them.

We did indeed talked about this in the plenary. As @rodrigo.constanzo says, this is what the guitar pick example in the helpfiles is doing in effect, but by centroid. I called it oversampled NMF, but I’m not sure if there is another official name somewhere. Over-splitting?

One thing you could also try is to analyse the time series (the activations of each basis) and cluster them, but that is harder. [A LPT](https://discourse.flucoma.org/t/various-experiments-with-the-lpt-patch/501/) approach to that could definitely be experienced with indeed as it tries to have some indications about the time series…

---

_[View the full topic](https://discourse.flucoma.org/t/nmf-question-bases-mode/509)._