Morphological characters and Electrophoretic SDS-PAGE analysis were performed to established genetic diversity for six important lentil varieties of Bangladesh and to elucidate their genetic relationships. Analyses of variance of morphological characters showed significant differences among varieties. The resulted protein banding pattern showed 57.12% polymorphism and could be considered as gen...

We introduce an analysis method to demonstrate correlation between biota and the physical habitats that they occupy. Using the same calculations as does Nei’s genetic distance index, this method builds independent dissimilarity matrices for both habitat and fauna, which can then be compared in a common statistical framework. An important advantage of this method is that only frequency data are ...

Abstract. Manifold learning has been successfully used for finding dominant factors (low-dimensional manifold) in a high-dimensional data set. However, most existing manifold learning algorithms only consider one manifold based on one dissimilarity matrix. For utilizing multiple manifolds, a key question is how different pieces of information can be integrated when multiple measurements are ava...

Land cover change in Addis Ababa, Ethiopia’s capital, is driven by recurring drought and the economic problems of society-initiated afforestation. The goal this study was to learn about state woody species regeneration Yeka’s urban forest patches. Thirty plots (20 m × 20 size) were sampled identify plants for purpose. All wooden trees with a height greater than 1.3 each plot identified, enumera...

The objective of this work was to evaluate the genetic divergence between common bean strains from breeding program Agricultural Research Institute Mozambique (IIAM)-Zonal Centre (CZC) and identify potential genitors generate segregating populations with high average wide variability. Five lines were evaluated in a randomized block design three repetitions. quantitative traits leaf area index, ...

L = Ld + λLu . (1) In Eq. 1, Ld is a measure of dissimilarity between labeled samples. The term Lu quantifies a notion of statistical difference between the source and target samples in the latent space. In brief, the cost Ld was based on the proposed generalized soft-margin loss, `β on labeled pairs. The statistical loss, Lu was based on Stein divergence, δs between source and target domain co...

The quinone profiles of microbial biomass samples from wastewater and natural aquatic environments were studied. A soil sample was alse analyzed for comparison. Attempts were made to perform numerical analyses on these profiles by using three pararneters, the microbial divergence index (MD,), the bioenergetic divergence index (BD,), and the dissimilarity ndex (D), and the algorithm of the neigh...

In this paper we introduce an integrative approach towards color texture classification learned by a supervised framework. Our approach is based on the Generalized Learning Vector Quantization (GLVQ), extended by an adaptive distance measure which is defined in the Fourier domain and 2D Gabor filters. We evaluate the proposed technique on a set of color texture images and compare results with t...

The measurement of residential segregation patterns and trends has been limited by a reliance on segregation measures that do not appropriately take into account the spatial patterning of population distributions. In this paper we define a general approach to measuring spatial segregation among multiple population groups. This general approach allows researchers to specify any theoretically bas...

To overcome the disadvantage of linear dissimilarity analysis (DISSIM) when monitoring nonlinear processes, a kernel dissimilarity analysis algorithm, termed KDISSIM here, is presented, which is the nonlinear version of DISSIM algorithm. A kernel dissimilarity index is introduced to quantitatively evaluate the differences between nonlinear data distribution structures, which can reflect the cha...