Geochemical Behavior Investigation Based on K-Means Clustering: Basics, Concepts and Case Study - Couverture souple

Hezarkhani, Ardeshir; Ghannadpour, Seyyed Saeed

 
9783659811210: Geochemical Behavior Investigation Based on K-Means Clustering: Basics, Concepts and Case Study
Couverture souple
ISBN 10 : 3659811211 ISBN 13 : 9783659811210
Editeur : LAP LAMBERT Academic Publishing, 2015

Synopsis

One of the most important viewpoints of data mining concerning the analysis of a large amount of data and samples with different characteristics includes clustering which is associated with methods and techniques that have frequently been applied in different fields of researches. A well-known algorithm of clustering is K-means by which the data are divided into K classes based upon a distance criterion. In this study, the K-means method applies for data classification derived from exploration boreholes and surface sampling in the Parkam deposit. The results derived based on the case of borehole data showed that the increasing Cu grade values resulted in a significant increase in Mo grades, a significant decrease in Pb grades followed by an increase, and the Zn grades varying comparable to Pb. With regards to the relationships between these elements it could be concluded that the meteoric waters promoted the mobilization of Pb and Zn from the potassic to the phyllic zone but the meteoric waters were not effective enough to cause the mobilization of Cu, and this element together with Mo remained immobile. Finally, equation of Cu grade estimation is also presented for surface data.

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Présentation de l'éditeur

One of the most important viewpoints of data mining concerning the analysis of a large amount of data and samples with different characteristics includes clustering which is associated with methods and techniques that have frequently been applied in different fields of researches. A well-known algorithm of clustering is K-means by which the data are divided into K classes based upon a distance criterion. In this study, the K-means method applies for data classification derived from exploration boreholes and surface sampling in the Parkam deposit. The results derived based on the case of borehole data showed that the increasing Cu grade values resulted in a significant increase in Mo grades, a significant decrease in Pb grades followed by an increase, and the Zn grades varying comparable to Pb. With regards to the relationships between these elements it could be concluded that the meteoric waters promoted the mobilization of Pb and Zn from the potassic to the phyllic zone but the meteoric waters were not effective enough to cause the mobilization of Cu, and this element together with Mo remained immobile. Finally, equation of Cu grade estimation is also presented for surface data.

Biographie de l'auteur

Dr. Ardeshir Hezarkhani. PhD, Geochemistry, Mineral Exploration and Modeling from McGill University, Canada. Post Doc, fellow at McGill University. Faculty member (Full professor) at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2015
Langue
anglais
ISBN 10 
3659811211
ISBN 13 
9783659811210
Reliure
Broché
Nombre de pages
60
Coordonnées du fabricant
non disponible
Personne responsable
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