Leland McInnes
where else to find them
what they talk about
where they keep going back
no series more than once — all 4 in the filters
on a stage with
- John Healyonce
who talks about the same things
- John Healy4 talks
- Abhiram Ravikumar2 talks
- Vincent D Warmerdam22 talks
- Benjamin Bengfort6 talks
- Ted Dunning16 talks
- Kacper Łukawski5 talks
| title | conference | date |
|---|---|---|
| Data Mapping for Data Exploration | PyData Seattle 2023 | 2023-04-26 |
Demonstrates converting embeddings into an interactive 2D map using UMAP, fast nearest-neighbor search against vector databases, and hierarchical clustering… | ||
| Topological Techniques for Unsupervised Learning | PyData Los Angeles 2019 | 2019-12-03 |
Claims that a combinatorial translation of metric spaces yields a practical dimension reducer and clustering pipeline: implements UMAP by mapping to a fuzzy… | ||
| A Bluffer's Guide to Dimension Reduction | PyData NYC 2018 | 2018-10-11 |
The claim is that almost everything useful about dimension reduction reduces to two concrete mechanisms: matrix factorization — build a reconstruction loss… | ||
| Clustering: A Guide for the Perplexed | PyData DC 2016 | 2016-10-07 |
Clustering recommendation: use HDBSCAN rather than kmeans because it outputs noise/outliers, finds variable-density clusters, and avoids forcing every point… | ||
| nothing matches | ||