Interpretation of run-of-mine comminution and recovery parameters using multi-element geochemical data clustering-Reference-Cited by-同舟云学术

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Interpretation of run-of-mine comminution and recovery parameters using multi-element geochemical data clustering

Published:2022-06 Issue: Volume:184 Page:107612
ISSN:0892-6875
Container-title:Minerals Engineering
language:en
Short-container-title:Minerals Engineering

Author:

van Duijvenbode Jeroen R.,Cloete Louis M.,Shishvan Masoud S.,Buxton Mike W.N.

Funder

AngloGold Ashanti

Publisher

Elsevier BV

Subject

Mechanical Engineering,Geotechnical Engineering and Engineering Geology,General Chemistry,Control and Systems Engineering

Reference44 articles.

1. Aggarwal, C.C., Reddy, C.K., Data Clustering. Algorithms and Applications. 2014, Taylor & Francis Group, London.

2. The statistical analysis of compositional data;Aitchison,1986

3. Logratios and Natural Laws in Compositional Data Analysis;Aitchison;Math. Geol.,1999

4. Tropicana Gold Mine Havana;Baker,2020

5. Application of Data Analytics Techniques to Establish Geometallurgical Relationships to Bond Work Index at the Paracutu Mine Minas Gerais, Brazil;Bhuiyan;Miner.,2019

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1. CLUSTERDC: A New Density-Based Clustering Algorithm and its Application in a Geological Material Characterization Workflow;Natural Resources Research;2024-07-15

2. Material fingerprinting as a tool to investigate between and within material type variability with a focus on material hardness;Minerals Engineering;2022-11

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