راش، گونه­های علفی، حاصل خیزی خاک، آنالیزهای چندمتغیره. this study was carried out in carpino-fagetum orientalis, rusco-fagetum orientalis,fagetum oriental and alno-fagetum orientalisforest communities of namkhaneh, gorazbon and chelir districts of kheiroudkenar forest. the aim of the research was investigation on relationship between understory vegetation and soil condition and to determine th...

Given a set of multivariate time series, the problem of clustering such data is concerned with the discovering of inherent groupings of the data according to how similar or dissimilar the time series are to each other. Existing time series clustering algorithms can divide into three types, raw-based, featurebased and model-based. In this paper, a model-based multivariate time series clustering ...

In this paper, we propose an algorithm to construct 3-D surface model from a set of range data, based on non-uniform rational B-splines (NURBS) surface-fitting technique. It is assumed that the range data is initially unorganized and scattered 3-D points, while their connectivity is also unknown. The proposed algorithm consists of three stages: initial model approximation employing -means clust...

a phenetic analysis of the 12 taxa or operational taxonomic units (otus) belonging to the three sections; genea, neobromus, and nevskiella of the genus bromus was performed. unweighted pair-group method using arithmetic averages (upgma) and weighted pair-group method using arithmetic averages (wpgma) clustering and factoriel method analyses were used to set the taxa apart. forty-four characters...

A great deal of effort has been made to characterize the nature of the discontinuities of the Yucca Mountain proposed nuclear waste repository. Discontinuity sets were identified, using orientation only as the basis of cluster analysis. Other discontinuity characteristics such as lithology fracture frequency, continuity, roughness, aperture, and infilling have been analyzed, but separate and di...

Using a descriptive approach, a study of the dynamics of farm mechanization was performed in the agricultural regions of Delicias, Chihuahua and La Begoña, Guanajuato, México. The study was aimed at identifying patterns of farm equipment utilization through multivariate analyses of relevant data. A total of 135 farmers were interviewed, along with 21 extension agents and 22 farm machinery deale...

Abstract Quite often real data exhibit non-normal features, such as asymmetry and heavy tails, present a latent group structure. In this paper, we first propose the multivariate skew shifted exponential normal distribution that can account for these characteristics. Then, use in finite mixture modeling framework. An EM algorithm is illustrated maximum-likelihood parameter estimation. We provide...

We introduce a new method for dynamic clustering of panel data with dynamics cluster location and shape, composition, the number clusters. Whereas current techniques typically result in (economically) too many switches, our results economically more meaningful patterns. It does so by extending standard cross-sectional using shrinkage towards previous means. In this way, different cross-sections...

This paper proposes a segmentation scheme based on the joint usage of color and depth data together with a 3D surface estimation scheme. Firstly a set of multi-dimensional vectors is built from color, geometry and surface orientation information. Normalized cuts spectral clustering is then applied in order to recursively segment the scene in two parts thus obtaining an over-segmentation. This p...