"Topological data analysis"의 두 판 사이의 차이
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===위키데이터=== | ===위키데이터=== | ||
* ID : [https://www.wikidata.org/wiki/Q4460773 Q4460773] | * ID : [https://www.wikidata.org/wiki/Q4460773 Q4460773] | ||
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| + | * [{'LOWER': 'topological'}, {'LOWER': 'data'}, {'LEMMA': 'analysis'}] | ||
2021년 2월 17일 (수) 01:56 판
노트
- Topological data analysis (TDA) is an emerging concept of data analysis for characterizing shape of data.[1]
- Topological data analysis (TDA) is a field of mathematics which deals with qualitative geometric features to analyze datasets.[2]
- We demonstrate the utility of topological data analysis combined with MC and present its merits and disadvantages.[3]
- The emerging area of topological data analysis (TDA) is a promising avenue of research to answer the challenge.[4]
- Chung is a leading expert of Topological Data analysis and has published more than 20 peer reviewed papers on this topic.[4]
- Wang is a leading expert on Topological Data Analysis in signal processing, particularly in electroencephalographic signals.[4]
- The newly-emerging domain comprising topology-based techniques is often referred to as topological data analysis (TDA).[5]
- In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology.[6]
- One way to apply statistics to topological data analysis is to study the statistical properties of topological features of point clouds.[6]
- Topological data analysis and persistent homology have had impacts on Morse theory.[6]
- Towards a new approach to reveal dynamical organization of the brain using topological data analysis.[7]
- But around this same time I kept hearing about an exciting but possibly over-hyped topic called topological data analysis: TDA.[8]
- In this article, I’ll specifically break down what Topological Data Analysis is and how to think about it.[9]
- How is Topology related to Topological Data Analysis?[9]
- These aspects are all essential in the field of Persistent Homology, which is the main tool that Topological Data Analysis is inspired by.[9]
- Topological data analysis reveals the structure of data.[10]
- This is a very important work that shows the way to applications of topological data analysis in genomics.[10]
- 27, topological data analysis (TDA) has emerged as a valuable tool for characterizing collective behavior and self-organization.[11]
소스
- ↑ Topological Data Analysis Team
- ↑ What Is Topological Data Analysis? Data Defined
- ↑ Topological data analysis in digital marketing
- ↑ 4.0 4.1 4.2 Online Learning Series
- ↑ Topological Data Analysis and Beyond
- ↑ 6.0 6.1 6.2 Topological data analysis
- ↑ Topological Data Analysis of Vascular Disease: A Theoretical Framework
- ↑ A Mathematician's Perspective on Topological Data Analysis and R
- ↑ 9.0 9.1 9.2 Topological Data Analysis — Unpacking the Buzzword
- ↑ 10.0 10.1 Topological Data Analysis for Genomics and Evolution
- ↑ Topological data analysis of zebrafish patterns
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위키데이터
- ID : Q4460773
Spacy 패턴 목록
- [{'LOWER': 'topological'}, {'LOWER': 'data'}, {'LEMMA': 'analysis'}]