A spatial filtering inspired three-way clustering approach with application to outlier detection

DOI10.1016/j.ijar.2020.12.003zbMath1493.62377OpenAlexW3111331031MaRDI QIDQ2237120

Bahar Ali, Jing Tao Yao, Nouman Azam, Anwar Shah

Publication date: 27 October 2021

Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ijar.2020.12.003

zbMATH Keywords

outlier detectionthree-way decisionsspatial filteringthree-way clustering

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (7)

A fast neighborhood classifier based on hash bucket with application to medical diagnosis ⋮ A three-way clustering approach using image enhancement operations ⋮ Ensemble learning using three-way density-sensitive spectral clustering ⋮ A three-way clustering method based on improved density peaks algorithm and boundary detection graph ⋮ Concept lattice simplification with fuzzy linguistic information based on three-way clustering ⋮ Multi-attribute group three-way decision making with degree-based linguistic term sets ⋮ A review of sequential three-way decision and multi-granularity learning

Uses Software

• UCI-ml
• LOF
• IsolationForest
• hdbscan

Cites Work

• Unnamed Item
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• A new initialization and performance measure for the rough \(k\)-means clustering
• A three-way cluster ensemble approach for large-scale data
• Variance based three-way clustering approaches for handling overlapping clustering
• A survey of outlier detection methodologies
• A Three-Way Decisions Clustering Algorithm for Incomplete Data
• Discovering cluster-based local outliers
• An Outline of a Theory of Three-Way Decisions
• Two-phase clustering process for outliers detection
• Multivariate Density Estimation
• Multivariate Outlier Detection With High-Breakdown Estimators

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