x-ray absorption fine structure (xafs) spectroscopy was used to identify directly the metal speciation and local bonding environment of fe in sediments originated from dobczyce reservoir (poland); special attention was paid to analysis of samples collected from points situated at different distances from the land. the combination of traditional approach to data analysis as well as usage of mult...

We propose a dynamic clustering model for uncovering latent time-varying group structures in multivariate panel data. The is three ways. First, the cluster location and scale matrices are to track gradual changes characteristics over time. Second, all units can transition between clusters based on Hidden Markov (HMM). Finally, HMM’s matrix depend lagged distances as well economic covariates. Mo...

Rapidly growing data sizes of scientific simulations pose significant challenges for interactive visualization and analysis techniques. In this work, we propose a compact probabilistic representation to interactively visualize large scattered datasets. contrast previous approaches that represent blocks volumetric using probability distributions, model clusters arbitrarily structured multivariat...

Bankruptcy prediction is very important for all the organization since it affects the economy and rise many social problems with high costs. There are large number of techniques have been developed to predict the bankruptcy, which helps the decision makers such as investors and financial analysts. One of the bankruptcy prediction models is the hybrid model using Fuzzy C-means clustering and MAR...

This paper proposes a segmentation scheme jointly exploiting color and depth data within a recursive region splitting framework. A set of multi-dimensional vectors is built from color and depth data and the scene is segmented in two parts using normalized cuts spectral clustering. Then a NURBS model is fitted on each of the two parts and various metrics based on the surface fitting results are ...

The biological basis underlying differentiation of naive (NAI) T cells into effector (EFFE) and memory (MEM) cells is incompletely understood. Furthermore, whether NAI T cells serially differentiate into EFFE and then MEM cells (linear differentiation) or whether they concurrently differentiate into either EFFE or MEM cells (parallel differentiation) remains unresolved. We isolated NAI, EFFE, a...

An agglomerative clustering of random variables is proposed, where clusters of random variables sharing the maximum amount of multivariate mutual information are merged successively to form larger clusters. Compared to the previous info-clustering algorithms, the agglomerative approach allows the computation to stop earlier when clusters of desired size and accuracy are obtained. An efficient a...

Clustering data continues to be a highly active area of data analysis, and resemblance profiles are being incorporated into ecological methodologies as a hypothesis testing-based approach to clustering multivariate data. However, these new clustering techniques have not been rigorously tested to determine the performance variability based on the algorithm's assumptions or any underlying data st...