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Clustering algorithms

A determinate method of metrology attribute benchmark of commercial banks’ management efficiency

Ren Jing, Xin Chang

A clustering metaheuristic for large orienteering problems

Almiqdad Elzein, Gianni A. Di Caro

A machine learning approach using partitioning around medoids clustering and random forest classification to model groups of farms in regard to production parameters and bulk tank milk antibody status of two major internal parasites in dairy cows

Andreas W. Oehm, Andrea Springer, [ ... ], Yury Zablotski

Entia Non Sunt Multiplicanda … Shall I look for clusters in my cognitive data?

Enrico Toffalini, Paolo Girardi, David Giofrè, Gianmarco Altoè

Environmental ranges discriminating between macrophytes groups in European rivers

Willem Kaijser, Sebastian Birk, Daniel Hering

Mapping global kimberlite potential from reconstructions of mantle flow over the past billion years

Anton Grabreck, Nicolas Flament, Ömer F. Bodur

Clustering compositional data using Dirichlet mixture model

Samyajoy Pal, Christian Heumann

Rough set based information theoretic approach for clustering uncertain categorical data

Jamal Uddin, Rozaida Ghazali, [ ... ], Asim Zeb

PISA data clusters reveal student and school inequality that affects results

Magnus Neuman

Capture, analyse, visualise: An exemplar of performance analysis in practice in field hockey

Felicity Lord, David B. Pyne, Marijke Welvaert, Jocelyn K. Mara

Biogeography of the coastal fishes of the Socotra Archipelago: Challenging current ecoregional concepts

Uwe Zajonz, Edouard Lavergne, Sergey V. Bogorodsky, Friedhelm Krupp

Topic modeling revisited: New evidence on algorithm performance and quality metrics

Matthias Rüdiger, David Antons, Amol M. Joshi, Torsten-Oliver Salge

New seasonal measurement with stability and clustering seasonal patterns: A case study in Japan from 2011 to 2019

Yu Ogasawara

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