General rough modeling of cluster analysis

DOI10.1007/978-3-030-87334-9_6zbMath1495.68229arXiv2106.04683OpenAlexW3203377124MaRDI QIDQ2670887

Yanyan Li

Publication date: 1 June 2022

Full work available at URL: https://arxiv.org/abs/2106.04683

zbMATH Keywords

mereologycluster validationontologycontamination problemaxiomatic granular computingclustering frameworksgeneral rough sets

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Applications of universal algebra in computer science (08A70)

Uses Software

• MBCbook

Cites Work

• Unnamed Item
• Unnamed Item
• Descriptive proximities: properties and interplay between classical proximities and overlap
• Functional extensions of knowledge representation in general rough sets
• Comparative approaches to granularity in general rough sets
• Aggregated statistical rankings are arbitrary
• Mereology then and now
• Algebraic Methods for Granular Rough Sets
• A Propositional Metric Logic with Fixed Finite Ranges
• Model-Based Clustering and Classification for Data Science

This page was built for publication: General rough modeling of cluster analysis