Topological Data Analysis Learning Code

버전 1.3 (32.3 KB) 작성자: Adam Cutbill
This code takes a (small) set of data as an input and computes the Betti Numbers of that data.
3.2
(6)
다운로드 수: 1.8K
업데이트 날짜: 2023/1/14

라이선스 보기

This code was developed primarily as a learning tool for Topological Data Analysis. It was written after reading papers about the topic.
I am not an active researcher in this field, but writing the code helped me gain a brief understanding of TDA. I hope it helps others try out this really interesting topic in mathematics/data analysis. It is not intended to actually perform TDA on large datasets.
The code computes the Betti Numbers of data using a simplicial complex.

인용 양식

Adam Cutbill (2026). Topological Data Analysis Learning Code (https://kr.mathworks.com/matlabcentral/fileexchange/47009-topological-data-analysis-learning-code), MATLAB Central File Exchange. 검색 날짜: .

MATLAB 릴리스 호환 정보
개발 환경: R2013b
모든 릴리스와 호환
플랫폼 호환성
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카테고리
Help Center 및 MATLAB Answers에서 Statistics and Machine Learning Toolbox에 대해 자세히 알아보기
태그 태그 추가
도움

도움 받은 파일: gplot

Topological Data Analysis

Topological Data Analysis/AnalyzeComplex

Topological Data Analysis/CreateComplex

Topological Data Analysis/SupportFunctions

Topological Data Analysis/VRComplex

Topological Data Analysis/Visualization

버전 게시됨 릴리스 정보
1.3

Replacing ismember function with newer version.
1.2

-Fixed some minor mistakes in the overall description.
1.1.0.0

Requires statistics toolbox and MATLAB 2010b or newer (for pdist2). I may modify this to work on older version as pdist2 is relatively simple function.
1.0.0.0