9786202786751 - Behavioral Analysis of Geochemical Elements in Mineral Exploration: -Methodology and Case study- de Shirazy, Adel; Shirazi, Aref; Hezarkhani, Ardeshir (8 resultados)

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Taschenbuch. Condición: Neu. Behavioral Analysis of Geochemical Elements in Mineral Exploration | -Methodology and Case study- | Adel Shirazy (u. a.) | Taschenbuch | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202786751 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.

Taschenbuch. Condición: 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.

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Condición: 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.

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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. 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)VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 104 pp. Englisch.

Taschenbuch. Condición: 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).