A modified self-updating clustering algorithm for application to dengue gene expression data

DOI10.1080/03610918.2018.1563149zbMath1489.62182OpenAlexW2915008197MaRDI QIDQ5083998

Jenn-Hwai Yang, Yen-Chang Chang, Wen-Liang Hung, I-Wen Song

Publication date: 21 June 2022

Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610918.2018.1563149

zbMATH Keywords

robustclustering algorithmgene expression datadengueself-updating procedure

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• The self-organizing map
• Clustering with the multivariate normal inverse Gaussian distribution
• On the convergence and consistency of the blurring mean-shift process
• Model-Based Clustering, Discriminant Analysis, and Density Estimation
• Stability-Based Validation of Clustering Solutions
• Automatic clustering algorithm for fuzzy data
• An intuitive clustering algorithm for spherical data with application to extrasolar planets
• An automatic clustering algorithm for probability density functions
• Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in Data

This page was built for publication: A modified self-updating clustering algorithm for application to dengue gene expression data