Resource estimation is the main and primary step in the development of a mining project.
Principally, it is necessary to first identify the geological domains through boreholes, model …

Cluster analysis by k-means algorithm by R programmingis the scope of the current paper.
The study assesses the similarity ofthe sampling data derived from the GIS project by …

In the recent years, many research methodologies are proposed to recognize the spoken
language and translate them to text. In this paper, we propose a novel iterative clustering …

This work addresses the practice of resource calculation for geometallurgical variables.
Similar to mineral resource modeling, estimation domains for geometallurgical variables …

One of the first decisions to be made when building a mineral resource model is the
definition of geological/geostatistical domains. Cluster analysis is a set of techniques in …

Within the natural resource industries, there is an increasing amount of data and number of
variables being recorded when sampling a site. This has made multivariate geospatial …

Cluster analysis is frequently used to help in individualizing stationary domains. Its
application in creating geometallurgical clusters can follow two approaches. The first utilizes …

This paper presents a learning-based stochastic simulation method that incorporates high-
order spatial statistics at multiple scales from sources with different resolutions. Regarding …

Determining geological domains to be modeled is one of the first steps in the mineral
resource evaluation process. Prior knowledge regarding the geology of the deposit is …

The decision of stationarity is a fundamental prerequisite to geostatistical estimation and
uncertainty characterization of natural resources. Great effort is given to delineate relevant …