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独立成分分析

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Wikipedia definition

1. Independent component analysisIndependent component analysis (ICA) is a computational method for separating a multivariate signal into additive subcomponents supposing the mutual statistical independence of the non-Gaussian source signals. It is a special case of blind source separation.
Read “Independent component analysis” on English Wikipedia
Read “独立成分分析” on Japanese Wikipedia
Read “Independent component analysis” on DBpedia

2.6534840609210866

9 strokes. JLPT N1. Jōyō kanji, taught in grade 5.

独

single, alone, spontaneously, Germany

Kun: ひと.り

On: ドク、トク

0.16865980880375125

5 strokes. JLPT N4. Jōyō kanji, taught in grade 1.

立

stand up, rise, set up, erect

Kun: た.つ、 -た.つ、た.ち-、た.てる、 -た.てる、た.て-、たて-、 -た.て、 -だ.て、 -だ.てる

On: リツ、リュウ、リットル

0.674639235215005

6 strokes. JLPT N3. Jōyō kanji, taught in grade 4.

成

turn into, become, get, grow, elapse, reach

Kun: な.る、な.す、 -な.す

On: セイ、ジョウ

0.13958053142379412

4 strokes. Jōyō kanji, taught in grade 2.

分

part, minute of time, segment, share, degree, one's lot, duty, understand, know, rate, 1%, chances, shaku/100

Kun: わ.ける、わ.け、わ.かれる、わ.かる、わ.かつ

On: ブン、フン、ブ

5.699538366471593

8 strokes. JLPT N1. Jōyō kanji, taught in junior high.

析

chop, divide, tear, analyze

On: セキ

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