Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Using UMAP for clustering

UMAP (Uniform Manifold Approximation and Projection) is a brand new dimension reduction technique, however it has been used already in the paper https://arxiv.org/abs/1908.05968 as a part of clustering pipeline. It gives a really nice results, however I’m not quite convinced of its correctnes. My concerns are similar to those regarding TSNE for clustering (nice stackoverflow discussion here: https://stats.stackexchange.com/questions/263539/clustering-on-the-output-of-t-sne). The UMAP lib for python also touches this issue: https://umap-learn.readthedocs.io/en/latest/clustering.html.

What are your thoughts?

submitted by /u/Andrejkarp
[link] [comments]

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.