博士論文

Extensions of nonnegative matrix factorization for exploratory data analysis

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DOI[10.14988/di.2017.0000016946]to the data of the same series

Extensions of nonnegative matrix factorization for exploratory data analysis

Persistent ID (NDL)
info:ndljp/pid/11050166
Material type
博士論文
Author
阿部, 寛康
Publisher
-
Publication date
2017-03-22
Material Format
Digital
Capacity, size, etc.
-
Name of awarding university/degree
同志社大学,博士(文化情報学),Doctor of Culture and Information Science
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非負値行列因子分解(NMF)は，全要素が非負であるデータ行列に対する行列分解法である．本論文では，実在するデータ行列に頻繁に見られる特徴や解釈容易性の向上を考慮に入れ，探索的にデータ分析を行うためのNMFの拡張について論じている．具体的には，零過剰行列や外れ値を含む行列を扱うための確率分布やダイバー...

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Table of Contents

  • 2020-08-12 再収集

  • 2020-08-12 再収集

  • 2023-04-26 再収集

  • 2023-04-26 再収集

  • 2023-12-08 再収集

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Digital

Material Type
博士論文
Title
Extensions of nonnegative matrix factorization for exploratory data analysis
Author/Editor
阿部, 寛康
Author Heading
阿部, 寛康
Publication Date
2017-03-22
Publication Date (W3CDTF)
2017-03-22
Alternative Title
探索的なデータ分析のための非負値行列因子分解の拡張
タンサクテキナ データ ブンセキ ノ タメ ノ ヒフチ ギョウレツ インシ ブンカイ ノ カクチョウ
Degree grantor/type
同志社大学
Date Granted
2017-03-22
Date Granted (W3CDTF)
2017-03-22