NISHIO Hirokazu[English][日本語]

Mathematical multidimensional spiky spikes

A structure we conceptually called "Spiny spikes in higher dimensional space". - This is the reason for the 110,000 UMAP here. - image

  • This means that in this of [Public Opinion Map 3970 UMAP
    • image
  • Mathematically.
    • $N((0, ...) , \sigma)$ and a small number of $N((4\sigma, 0, ...) , \sigma)$ and a small number of data (representation of one spike).
    • $4\sigma$ means "far enough away".
    • Since this is tedious, we will write this as 1 (just make $\sigma$ that much smaller).
    • K spikes are (1, 0, 0, 0, ...) , (0, 1, 0, 0, ...) , (0, 0, 1, 0, ...) , ... like this

experiment SD=0.1

  • image SD=0.2
  • image SD=0.3
  • image

When it's clearly separated, it's an enclave like UMAP with SD=0.1. If it's too mixed, you can't tell the boundary, like SD=0.3. It becomes spiky at its boundaries. image


This page is auto-translated from /nishio/数学的な多次元トゲトゲ using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I'm very happy to spread my thought to non-Japanese readers.


(C)NISHIO Hirokazu / Converted from Markdown (en)
Source: [GitHub] / [Scrapbox]