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TWO WAYS CLUSTER OF HEAVY MINERAL DATA TO IDENTIFY TYPE OF MINERALIZATION IN SRAB, IRAN

A. Pourjabbar, A. Hezarkhani

First published: 2006DOI pendingView metrics

Abstract

Multivariate analysis is one of the base stage in heavy geochemical prospecting (heavy mineral study). Factor and clustering analysis identify different type of mineralization and the relation between minerals in studied area. But in these methods for each mineral it is necessary to be at least 10 valid samples. Therefore some minerals can’t be analyzed by such methods and we miss some minerals in multivariate analysis and can’t identify the relation between these minerals and others. Jaccard coefficient can be used as a complementary method for multivariate analysis-clustering analysis. Because in this method numbers of valid samples is not important. In this study 230 heavy minerals samples were collected from Sarab,Iran. The minerals were analyzed by clustering method (complete linkage), and ore –forming minerals were analyzed by jaccard method additionally. Therefore different type of mineralization were identified in Sarab area.

Publication details

Title
TWO WAYS CLUSTER OF HEAVY MINERAL DATA TO IDENTIFY TYPE OF MINERALIZATION IN SRAB, IRAN
Authors
A. Pourjabbar, A. Hezarkhani
Proceedings
6th International Scientific Conference - SGEM
Publisher
SGEM Scientific GeoConference
Year
2006
Pages
477-487
ISSN
1314-2704
ISBN
954-918181-2
Language
en
Publication type
Conference Paper
Keywords
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