Exploring hyperspectral imaging data sets with topological data analysis

2017/11/22 by Ludovic Duponchel · 24 citations
Computer Science · #Algorithm #Artificial intelligence #Chemometrics #Cluster analysis #Computer science #Data mining #Data set #Geography #Hyperspectral imaging #Machine learning #Pattern recognition (psychology) #Pixel #Remote sensing #Set (abstract data type) #Spatial analysis #Topological and Geometric Data Analysis #Topological data analysis

paper · doi:10.1016/j.aca.2017.11.029

published in Analytica Chimica Acta 1000, 123-131 (Elsevier BV)

openalex publication_date 2017/11/22 · crossref created 2017/11/22 · crossref issued 2018/02/01 · crossref published 2018/02/01 · crossref published-print 2018/02/01 · crossref deposited 2025/09/12 · openalex created_date 2025/10/10 · crossref indexed 2026/07/21 · openalex updated_date 2026/07/22

Citations

• Silhouettes: A graphical aid to the interpretation and validation of cluster analysis
• The Lack of A Priori Distinctions Between Learning Algorithms
• SLINK: An optimally efficient algorithm for the single-link cluster method
• Least squares quantization in PCM
• Topological data analysis: A promising big data exploration tool in biology, analytical chemistry and physical chemistry

Cited by

• Topological data analysis [wikipedia]