from Blind spot card with no picture yet Treatment of nominal scale
Embed a nominal measure into a vector space on {0,1}. Embed the nominal measure into the vector space on {0,1}. Reduce by 1 dimension after embedding. Think of it as a discrete distance space.
BELOW_IS_AI_GENERATED
名義尺度の扱い
2023-09-05 01:08
Summary of notes
. Embed the nominal scale in a vector space and treat it as a discrete distance space by reducing one dimension.
Relation to Fragment
. The note and the fragment “{0, 1} for real numbers from 0 to 1” are highly related. Both share the idea of embedding real numbers in a discrete space.
deep thinking
Embedding the nominal scale in a vector space allows discrete data to be represented in a continuous space. This allows for a more intuitive understanding of the relationships between data.
summary of thoughts and title
. “Embedding Discrete Data into Continuous Space for Greater Understanding.”
extra info
titles: ["Blind cards without pictures yet"], "Discretization of real numbers", "Distributed representation of characters", "Embedded vectors", "Blind card candidates", "Not distance", "Body expansion", "Random but not necessarily uniform distribution", "RAKE", "Implicitly assume one axis", "Justice violence", "Direct Citation model"]
generated: 2023-09-05 01:08
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