4.7 Article

Coal elemental (compositional) data analysis with hierarchical clustering algorithms

Related references

Note: Only part of the references are listed.
Article Geosciences, Multidisciplinary

Weighted Symmetric Pivot Coordinates for Compositional Data with Geochemical Applications

Karel Hron et al.

Summary: Negative correlations between elements, molecules, or minerals can indicate various geochemical processes. Symmetric pivot coordinates are developed to identify positive and negative correlations between different parts in compositional data.

MATHEMATICAL GEOSCIENCES (2021)

Article Geosciences, Multidisciplinary

Modes of occurrence of elements in coal: A critical evaluation

Shifeng Dai et al.

Summary: Coal is a complex geological material containing various elements and minerals, with the modes of occurrence of elements playing a crucial role in coal mining, preparation, combustion, utilization, as well as environmental and health effects. Understanding the modes of occurrence is essential for extracting critical metals from coal or coal ash, and different coals may exhibit varying element occurrences based on geological conditions.

EARTH-SCIENCE REVIEWS (2021)

Review Energy & Fuels

Recognition of peat depositional environments in coal: A review

Shifeng Dai et al.

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2020)

Review Energy & Fuels

Organic associations of non-mineral elements in coal: A review

Shifeng Dai et al.

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2020)

Review Energy & Fuels

The importance of minerals in coal as the hosts of chemical elements: A review

Robert B. Finkelman et al.

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2019)

Article Geosciences, Multidisciplinary

Weighted Pivot Coordinates for Compositional Data and Their Application to Geochemical Mapping

Karel Hron et al.

MATHEMATICAL GEOSCIENCES (2017)

Article Geosciences, Multidisciplinary

Correlation Between Compositional Parts Based on Symmetric Balances

Petra Kynclova et al.

MATHEMATICAL GEOSCIENCES (2017)

Review Energy & Fuels

Analysis, origin and significance of mineral matter in coal: An updated review

Colin R. Ward

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2016)

Article Energy & Fuels

Whole-coal versus ash basis in coal geochemistry: A mathematical approach to consistent interpretations

Nicholas J. Geboy et al.

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2013)

Article Mathematics, Applied

Comparison of hierarchical cluster analysis methods by cophenetic correlation

Sinan Saracli et al.

JOURNAL OF INEQUALITIES AND APPLICATIONS (2013)

Article Geosciences, Multidisciplinary

On the Interpretation of Orthonormal Coordinates for Compositional Data

Eva Fiserova et al.

MATHEMATICAL GEOSCIENCES (2011)

Article Environmental Sciences

Univariate statistical analysis of environmental (compositional) data: Problems and possibilities

Peter Filzmoser et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2009)

Article Geochemistry & Geophysics

Cluster analysis applied to regional geochemical data: Problems and possibilities

Matthias Templ et al.

APPLIED GEOCHEMISTRY (2008)

Article Geosciences, Multidisciplinary

Investigation of the structure of geological process through multivariate statistical analysis - The creation of a coal

Lawrence J. Drew et al.

MATHEMATICAL GEOSCIENCES (2008)

Review Computer Science, Artificial Intelligence

Survey of clustering algorithms

R Xu et al.

IEEE TRANSACTIONS ON NEURAL NETWORKS (2005)

Article Geosciences, Multidisciplinary

Isometric logratio transformations for compositional data analysis

JJ Egozcue et al.

MATHEMATICAL GEOLOGY (2003)

Review Energy & Fuels

Analysis and significance of mineral matter in coal seams

CR Ward

INTERNATIONAL JOURNAL OF COAL GEOLOGY (2002)

Article Geosciences, Multidisciplinary

Logratio analysis and compositional distance

J Aitchison et al.

MATHEMATICAL GEOLOGY (2000)