Description
PaCMAP (Pairwise Controlled Manifold Approximation) is a dimensionality reduction method that can be used for visualizing your high dimensional data in fewer dimensions.*
The advantage of PaCMAP over other dimensionality reduction algorithms, is that it is capable of more robustly maintaining both global and local structures between populations within a data matrix. This algorithm was developed by Yingfan Wang, Haiyang Huang, Cynthia Rudin, and Yaron Shaposhink
*PaCMAP Plugin v2.0.0 is now compatible with new ARM-chip (M-series) Macs. v1.0.0 is not compatible with M-series Macs.
Algorithm Authors
Yingfan Wang
Haiyang Huang
Cynthia Rudin
Yaron Shaposhink
Plugin Developers
Josh Luthy
Applications
Categories
Visualization
Dimensionality Reduction