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Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components
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Copyright Title

Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components

Status

Published

on 5 May 2020
Year of Creation
2020
Copyright Claimant
Lei Ding
Registration Number
TX0008873426
on 5 May 2020

Copyright Summary


The U.S. Copyright record (Registration Number: TX0008873426) dated 5 May 2020, pertains to an electronic file (eService) titled "Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components" created in 2020. The copyright holder is Lei Ding, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Lei Ding.

Copyright Details


Copyright Claimant
Lei Ding

Application Details


Registration Number
TX0008873426
Registration Date
5/5/2020
Year of Creation
2020
Agency Marc Code
DLC-CO
Record Status
New
Physical Description
Electronic file (eService)
First Publication Nation
United States

Personal Authors


Notes


Rights Note: Mark Dill, ProQuest, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements


Application Title Statement: Supervised Learning and Outlier Detection for High-dimensional Data Using Principal Components
Author Statement: Lei Ding Citizenship: not known Authorship: text
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