PacMAP

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

*Please note that the PacMap Plugin is not compatible with new ARM-chip Macs.

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Algorithm Authors

Yingfan Wang

Haiyang Huang

Cynthia Rudin

Yaron Shaposhink

Plugin Developers

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Applications

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Categories

Visualization

Dimensionality Reduction