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Sankore

Named after the University of Sankore in Timbuktu — one of the world’s oldest centres of learning. Every figure here is computed from work-level records in our own graph, never copied from a source’s summary count.

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An Improved Initialization Method for k-Means Clustering of Noisy Datasets Based on Rough Set Neighbourhood Model

2026International Journal of Advanced Statistics and ProbabilityJournalOpen access

10.14419/69dvcw11 Full text0 citations

Authors

2 authors.

Abeng J. AbengFirst author
- University of Nigeria (NG)
Mbanefo S. MadukaifeSenior author
- University of Nigeria (NG)

Fields

Assignment is probabilistic — a work belongs to several fields in proportions.

Rough Sets and Fuzzy Logiclevel 3 · 0.51
Advanced Clustering Algorithms Researchlevel 3 · 0.37
Machine Learning and Data Classificationlevel 3 · 0.02

Sources

Several sources describing one work is the point — it means the record rests on more than one authority.

openalexseen September 9, 2026
2026 · International Journal of Advanced Statistics and Probability · 0 citations
https://openalex.org/W7142647369

An Improved Initialization Method for k-Means Clustering of Noisy Datasets Based on Rough Set Neighbourhood Model · Sankore