非線形次元縮小のためのグローバルな幾何学的な枠組み

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Updated: Jul 11, 2026

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes
10:10

Analyzing the Size, Shape, and Directionality of Networks of Coupled Astrocytes

Published on: October 4, 2018

J B Tenenbaum1, V de Silva, J C Langford

  • 1Department of Psychology, Stanford University, Stanford, CA 94305, USA. jbt@psych.stanford.edu

Science (New York, N.Y.)
|December 23, 2000
PubMed
まとめ

この研究は,複雑な高次元データセットに隠された低次元構造を発見するために,ローカルデータメトリックを使用して,新しい次元縮小方法を提示しています. 非線形データに対してグローバルに最適なソリューションを効率的に見つけ,従来のテクニックを上回ります.

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