Studying on the spatial distribution and variation characteristics of soil fertility by Application of geographical information systems (GIS) and data mining(DM), with the quantitative analysis of spatial variability of soil fertility in complexity, and provide the effective way for simulations which can be closer to the farmland soil fertility variability. At the same time, interpolation metho...

We discuss a model-based approach to identifying clusters of objects based on subsets of attributes, so that the attributes that distinguish a cluster from the rest of the population may depend on the cluster being considered. The method is based on a Pólya urn cluster model for multivariate means and variances, resulting in a multivariate Dirichlet process mixture model. This particular model-...

This article develops a model-based approach to clustering multivariate binary data, in which the attributes that distinguish a cluster from the rest of the population may depend on the cluster being considered. The clustering approach is based on a multivariate Dirichlet process mixture model, which allows for the estimation of the number of clusters, the cluster memberships, and the cluster-s...

Abstract Multivariable time series (MTS) clustering is an important topic in data mining. The major challenge of MTS to capture the temporal correlations and dependencies between multiple variables. In this paper, we propose a novel approach based on graph convolutional network (GCN), which powerful feature extractor for structure data. We regard each variable as node construct edges through co...

The search for groups of important sectors in an economy has been and still is one of the more recurrent themes in input-output analysis. But a sector can probably be important for some questions at the same time, to a different degree. In this direction, a multidimensional fuzzy clustering analysis gives as a result a classification of sectors illustrating the different roles that each one pla...

Moment tensors are indefinite tensors derived from seismic measurements and encode important information about earthquakes and surface displacement in the earth’s mantle. Appropriate analysis of scattered moment tensor fields requires multi-scale visualization to identify related seismic events. For this matter we provide a visualization of the tensor field at different scales based on multivar...

A combination of field and tabular methods and multivariate analyses were used to develop groups of herb layer species (i.e., ecological species groups) that describe and characterize ecosystems dominated by oak in West Azerbaijan, Iran. Six such ecological species groups were created using 117 woody and herbaceous species sampled in 76 plots within a 320 ha region. We developed ecological spec...