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== 노트 == | == 노트 == | ||
===말뭉치=== | ===말뭉치=== | ||
+ | # Topological data analysis (TDA) is an emerging concept of data analysis for characterizing shape of data.<ref name="ref_d7a3">[https://www.riken.jp/en/research/labs/aip/generic_tech/topology_data_anl/index.html Topological Data Analysis Team]</ref> | ||
+ | # Topological data analysis (TDA) is a field of mathematics which deals with qualitative geometric features to analyze datasets.<ref name="ref_8004">[https://www.indicative.com/data-defined/topological-data-analysis/ What Is Topological Data Analysis? Data Defined]</ref> | ||
# On this page I have a number of items to get the interested reader started with persistent homology and topological data analysis (TDA).<ref name="ref_37b6a0f0">[https://people.clas.ufl.edu/peterbubenik/intro-to-tda/ Topological Data Analysis]</ref> | # On this page I have a number of items to get the interested reader started with persistent homology and topological data analysis (TDA).<ref name="ref_37b6a0f0">[https://people.clas.ufl.edu/peterbubenik/intro-to-tda/ Topological Data Analysis]</ref> | ||
# In topological data analysis, one usually replaces the original space with one or more topological spaces that one hopes will retain the relevant topological information in the original set.<ref name="ref_0acb0af5">[https://www.imsi.institute/activities/topological-data-analysis/ Topological Data Analysis • IMSI]</ref> | # In topological data analysis, one usually replaces the original space with one or more topological spaces that one hopes will retain the relevant topological information in the original set.<ref name="ref_0acb0af5">[https://www.imsi.institute/activities/topological-data-analysis/ Topological Data Analysis • IMSI]</ref> |
2021년 10월 19일 (화) 00:45 기준 최신판
노트
말뭉치
- 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]
- On this page I have a number of items to get the interested reader started with persistent homology and topological data analysis (TDA).[3]
- In topological data analysis, one usually replaces the original space with one or more topological spaces that one hopes will retain the relevant topological information in the original set.[4]
- In applied mathematics, topological data analysis (TDA) is an approach to the analysis of datasets using techniques from topology.[5]
- Topological data analysis (tda) is a recent and fast-growing field providing a set of new topological and geometric tools to infer relevant features for possibly complex data.[6]
- Statistical topological data analysis using persistence landscapes.[7]
- Abstract We apply tools from topological data analysis to two mathematical models inspired by biological aggregations such as bird flocks, fish schools, and insect swarms.[8]
- In brief, we use the methods of topological data analysis to compute the persistent homology of spatiotemporal aggregation data sets arising from numerical simulation of models.[8]
- Our primary goal is to demonstrate the utility of topological data analysis for biological aggregations and similar applications.[8]
- We combine topological data analysis and machine learning to provide a collection of summary statistics describing patterns on both microscopic and macroscopic scales.[9]
- Here we introduce methods based on topological data analysis and interpretable machine learning for quantifying both agent-level features and global pattern attributes on a large scale.[9]
- 27, topological data analysis (TDA) has emerged as a valuable tool for characterizing collective behavior and self-organization.[9]
- The newly-emerging domain comprising topology-based techniques is often referred to as topological data analysis (TDA).[10]
- But around this same time I kept hearing about an exciting but possibly over-hyped topic called topological data analysis: TDA.[11]
- One of the key messages around topological data analysis is that data has shape and the shape matters.[12]
- What is topological data analysis (TDA), and why is TDA taking the big data world by storm?[13]
- Introduction Topological data analysis (TDA) consists of a growing set of methods that provide insight to the shape of data (see the surveys Ghrist, 2008; Carlsson, 2009).[14]
- Topological data analysis (TDA) involves extracting information from clouds of data points and using the information to classify data, recognize patterns or predict trends, for example.[15]
- Introduction Topological data analysis (TDA) describes the shape of noisy and potentially incomplete data in a robust way, so that such data can be better understood and utilised.[16]
- The development of this software will enable researchers at the Turing and elsewhere to apply topological data analysis at a previously unachievable scale.[16]
- It will also lead to the development of new techniques that make topological data analysis more robust to the presence of egregious outliers in large datasets.[16]
- In this paper, we present an alternative approach to AR pattern recognition based on topological data analysis (TDA) (Ghrist, 2008; Carlsson, 2009, 2014) and machine learning (ML) (Kubat, 2015).[17]
- Topological data analysis (TDA) aims to measure the “intrinsic shape” of data and identify this manifold despite noise and the likely nonlinear embedding.[18]
- Topological data analysis reveals the structure of data.[19]
소스
- ↑ Topological Data Analysis Team
- ↑ What Is Topological Data Analysis? Data Defined
- ↑ Topological Data Analysis
- ↑ Topological Data Analysis • IMSI
- ↑ Topological data analysis
- ↑ An Introduction to Topological Data Analysis: Fundamental and Practical Aspects for Data Scientists
- ↑ A User’s Guide to Topological Data Analysis
- ↑ 8.0 8.1 8.2 Topological Data Analysis of Biological Aggregation Models
- ↑ 9.0 9.1 9.2 Topological data analysis of zebrafish patterns
- ↑ Topological Data Analysis and Beyond
- ↑ A Mathematician's Perspective on Topological Data Analysis and R
- ↑ What Is Topological Data Analysis? Data Defined
- ↑ Introduction to Topological Data Analysis
- ↑ Journal of machine learning research 16 (2015) 77-102
- ↑ Topological data analysis can help predict crashes
- ↑ 16.0 16.1 16.2 Scalable topological data analysis
- ↑ Topological data analysis and machine learning for recognizing atmospheric river patterns in large climate datasets
- ↑ Topological data analysis: What is persistent homology?
- ↑ Topological Data Analysis for Genomics and Evolution
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- [{'LOWER': 'topological'}, {'LOWER': 'data'}, {'LEMMA': 'analysis'}]