Using Dimensionality Reduction Techniques to Understand the Sources of Software Complexity-Reference-Cited by-同舟云学术

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Using Dimensionality Reduction Techniques to Understand the Sources of Software Complexity

Published:2022-07 Issue: Volume: Page:
ISSN:
Container-title:2022 6th International Conference on Computer, Software and Modeling (ICCSM)
language:
Short-container-title:

Author:

Johnson Blake¹,Simha Rahul¹

Affiliation:

1. The George Washington University,Department of Computer Science,Washington, DC,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9982695/9982696/09982700.pdf?arnumber=9982700

Reference17 articles.

1. Principal Component Analysis

2. Stochastic Neighbor Embedding;hinton;Advances in neural information processing systems,2003

3. Principal component analysis: A review and recent developments. Philosophical Transactions of the Royal Society A: Mathematical;jolliffe;Physical and Engineering Sciences,2016

4. Measuring object-oriented system complexity;sheetz;Proc 1st Workshop in IT and Systems,1991

5. Correction to: Data dependencies for query optimization: a survey

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