Proposal of multi-dimensional data dimension reduction method using principle of synthetic wave
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- HIRUTA Komei
- Graduate School of Science and Technology, Keio University
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- TAKAYA Eichi
- Graduate School of Science and Technology, Keio University
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- KURIHARA Satoshi
- Faculty of Science and Technology, Keio University
Bibliographic Information
- Other Title
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- 合成波の原理を利用した多次元データ次元削減法の提案
Abstract
<p>Multidimensional data compression has long been active research area of interest from the perspective of reducing learning costs and summarizing data. Especially in today's big data era, it is expected to establish data compression methods with higher performance than ever before. In this study, we propose a new method of multidimensional compression that effectively utilizes the physical properties of waves. The principle of wave superposition can be applied to synthesize multiple waves. It is a physical fact that the wavelength of a superposition of waves with different wavelengths can be expressed as the harmonic mean of each wave. Applying this characteristics to the compression of multidimensional data, the composition of multiple variables can be expressed as the harmonic mean of each variable. In this way, we propose a method of dimensional compression that can compress each variable more effectively than conventional methods.</p>
Journal
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- Proceedings of the Annual Conference of JSAI
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Proceedings of the Annual Conference of JSAI JSAI2021 (0), 4G1GS2j01-4G1GS2j01, 2021
The Japanese Society for Artificial Intelligence
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Keywords
Details 詳細情報について
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- CRID
- 1390569845477364096
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- NII Article ID
- 130008051964
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- Text Lang
- ja
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- Data Source
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- JaLC
- CiNii Articles
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- Abstract License Flag
- Disallowed