The dimensionality of data isn't the dimensionality of the encoding medium (e.g. images -> 2D data). All data can be re-encoded with a different number of dimensions. What matters is the dimensionality of the latent manifold. The structure of correlations in your data.
-
-
(I'm expecting pedantic, braindead replies about how mathematics is not a product of the human mind
)Show this threadThanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Arguably you push to the stratosphere an analogy that was meant to stay close to the Earth. Analogies are like models, in that: “All models are wrong, but some are useful”
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Use lossless dimensionality reduction to ease visualization, François!
#USA1 42#NWO 99>1 https://youtu.be/t5Sd5c4o9UM?t=90 …pic.twitter.com/3lTh832gtJThanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
Yes, any piece of information can be encoded in any number of dimensions. However, this does not imply that analysis of the dimensionality of typical representations is a pointless endeavor.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
-
-
You may be interested in Jean Petitot's work on neurogeometry.
Thanks. Twitter will use this to make your timeline better. UndoUndo
-
Loading seems to be taking a while.
Twitter may be over capacity or experiencing a momentary hiccup. Try again or visit Twitter Status for more information.