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Behavioral Analysis of Geochemical Elements in Mineral Exploration: -Methodology and Case study- - Softcover
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In recent years, due to the high dependence of mineral projects on the precise determination of the tonnage of mineral materials, the various methods have been developed to estimate the grade such as geometric methods based on distance and geostatistics. Each method has limitations and disadvantages which affect the accuracy of estimation. One of the new methods is the grade estimation using the clustering. The cluster analysis methods are widely used in the earth sciences. The cluster grouping method is used to classify geochemical data. The cluster analysis connects the observations to each other which together have many similarities, then, the observations consecutively connect them which are most similar to previous observations . In this book, we intend to examine the following methods.1- Correlation2- Hierarchical analysis3- K-Means 4- Regression analysis5- PCA (Principal Component Analysis)6- DA (Discriminant Analysis)
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Behavioral Analysis of Geochemical Elements in Mineral Exploration
Verlag:
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
Neu
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Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, due to the high dependence of mineral projects on the precise determination of the tonnage of mineral materials, the various methods have been developed to estimate the grade such as geometric methods based on distance and geostatistics. Each method has limitations and disadvantages which affect the accuracy of estimation. One of the new methods is the grade estimation using the clustering. The cluster analysis methods are widely used in the earth sciences. The cluster grouping method is used to classify geochemical data. The cluster analysis connects the observations to each other which together have many similarities, then, the observations consecutively connect them which are most similar to previous observations . In this book, we intend to examine the following methods.1- Correlation2- Hierarchical analysis3- K-Means 4- Regression analysis5- PCA (Principal Component Analysis)6- DA (Discriminant Analysis) 104 pp. Englisch. Bestandsnummer des Verkäufers 9786202786751
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Behavioral Analysis of Geochemical Elements in Mineral Exploration: -Methodology and Case study-
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
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Behavioral Analysis of Geochemical Elements in Mineral Exploration: -Methodology and Case study-
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
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Softcover
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Behavioral Analysis of Geochemical Elements in Mineral Exploration: -Methodology and Case study-
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
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Softcover
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Behavioral Analysis of Geochemical Elements in Mineral Exploration
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
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Softcover
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shirazy AdelProf. A. Hezarkhani is Professor (Full) at Amirkabir University ofTechnology. Adel Shirazy and Aref Shirazi are his Ph.D. students. Thisteam specializes in mineral exploration.In recent years, due to the high dependen. Bestandsnummer des Verkäufers 494132861
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Behavioral Analysis of Geochemical Elements in Mineral Exploration
Verlag:
LAP LAMBERT Academic Publishing Aug 2020, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
Neu
Taschenbuch
Anbieter: buchversandmimpf2000, Emtmannsberg, BAYE, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. Neuware -In recent years, due to the high dependence of mineral projects on the precise determination of the tonnage of mineral materials, the various methods have been developed to estimate the grade such as geometric methods based on distance and geostatistics. Each method has limitations and disadvantages which affect the accuracy of estimation. One of the new methods is the grade estimation using the clustering. The cluster analysis methods are widely used in the earth sciences. The cluster grouping method is used to classify geochemical data. The cluster analysis connects the observations to each other which together have many similarities, then, the observations consecutively connect them which are most similar to previous observations . In this book, we intend to examine the following methods.1- Correlation2- Hierarchical analysis3- K-Means 4- Regression analysis5- PCA (Principal Component Analysis)6- DA (Discriminant Analysis)Books on Demand GmbH, Überseering 33, 22297 Hamburg 104 pp. Englisch. Bestandsnummer des Verkäufers 9786202786751
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Behavioral Analysis of Geochemical Elements in Mineral Exploration : Methodology and Case study
Verlag:
LAP LAMBERT Academic Publishing, 2020
ISBN 10: 6202786752
ISBN 13: 9786202786751
Neu
Taschenbuch
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Verkäuferbewertung 5 von 5 Sternen
Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, due to the high dependence of mineral projects on the precise determination of the tonnage of mineral materials, the various methods have been developed to estimate the grade such as geometric methods based on distance and geostatistics. Each method has limitations and disadvantages which affect the accuracy of estimation. One of the new methods is the grade estimation using the clustering. The cluster analysis methods are widely used in the earth sciences. The cluster grouping method is used to classify geochemical data. The cluster analysis connects the observations to each other which together have many similarities, then, the observations consecutively connect them which are most similar to previous observations . In this book, we intend to examine the following methods.1- Correlation2- Hierarchical analysis3- K-Means 4- Regression analysis5- PCA (Principal Component Analysis)6- DA (Discriminant Analysis). Bestandsnummer des Verkäufers 9786202786751
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