… geochemistry of the data set at hand. Due to the complex nature of regional geochemical data
(… , often multi-modal data distributions, data closure), cluster analysis results often strongly …

… Using a large regional scale geochemical data set containing 605 … with regard to the use of
factor analysis in geochemistry: … , eg cluster analysis, should probably be used prior to factor …

… Moreover, the k-means and fuzzy cmeans clustering algorithms are more reliable than the
… are used to cluster the geochemical data. We apply cluster analysis to the geochemical data …

… issue is addressed by using a new method: geochemical metallogenic potential mapping
based on cluster analysis (… exploration from all available elements in a geochemical dataset. …

… to geology and mineralization are hidden in regional geochemical data, and a new way to
exhume this type of resource is offered by semi-hierarchical correspondence cluster analysis. …

… textbooks on geochemistry still claim that geochemical data is … is widely used when working
with geochemical data. Reimann … One possibility to model fluent transitions between clusters …

… In this paper, we explore unsupervised cluster analysis to aid mineral prospectivity
mapping (MPM) in two aspects: (1) to cluster geochemical data for MPM based on detailed …

… , we used geochemical data from one of the regional exploration sheets … cluster analysis is
a multivariate tool for exploratory data … the results of our cluster analyses. Finally, the obtained …

… analyzed for 42 elements as part of a geochemical landscape study in northern California. ►
Two types of cluster analyses were applied to … Hierarchical clustering of Sacramento Valley …

… data stream to complement the exploration strategy. We demonstrate the usefulness of cluster
analysis … selecting different subsets of the available data on the classification results. Our …