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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)