Seven STMS primers were used to analyse 20 individuals each of 15 populations of North-western Indian Himalayan hull-less barley landraces. A total of 96 alleles were detected of which 40 were common and 56 were rare. Administrative regionwise, highest allelic richness was revealed by populations from Himachal Pradesh (10.71 alleles/locus) followed by Jammu & Kashmir (8.86 alleles/locus) and Ut...

This paper proposes spectral and asymmetric-volatility based methods for cluster analysis of stock returns. Using the information about both the periodogram of the squared returns and the estimated parameters in the TARCH equation, we compute a distance matrix for the stock returns. Clusters are formed by looking to the hierarchical structure tree (or dendrogram) and the computed principal coor...

Parallel coordinates, re-orderable matrices, and dendrograms, widely used methods for visual exploration of multivariate data, are systematically integrated in a complementary manner for supporting multi-resolution visual data analysis with an enhanced overviewzdetail exploratory strategy. There are three main topics: (1) dynamic control across resolutions at which data are explored; (2) coordi...

Coffee offers one of the most widely drunk beverages in the world, and is a very important source of foreign currency income for many countries. Coffea canephora Pierre presents a great genetic variability, with one of the widest natural geographical distribution within the subgenus. Newly developed single nucleotide Polymorphism (SNP) markers are effective in genetic diversity detection. The o...

This paper proposes new clustering criteria for distinguishing Saccharomyces cerevisiae (yeast) strains using their spectrometric signature. These criteria are introduced in an agglomerative hierarchical clustering context, and consist of: (a) minimizing the total volume of clusters, as given by their respective convex hulls; and, (b) minimizing the global variance in cluster directionality. Th...

We present Sketcholution, a method for automatically creating visual histories of hand-drawn sketches. Such visual histories are useful for a designer to reflect on a sketch, communicate ideas to others, and fork from or revert to an earlier point in the creative process. Our approach uses a bottom-up agglomerative clustering mechanism that groups adjacent frames based on their perceptual simil...

In this paper, we present a clustering method for non-Euclidean relational data based on the combination of indiscernibility level and linkage algorithm. Indiscernibility level quantifys the level of global agreement for classifying two objects into the same category as indiscernible objects. Single-linkage grouping is then used to merge objects according to the indiscernibility level from bott...

genetic diversity of 36 genotypes of dwarf and semi-dwarf apple rootstocks along with seven iranian dwarf rootstocks were investigated by use of rapd dna markers. a set of 100 random primers was utilized in pcr reaction from which 10 primers resulted in good amplification with high polymorphism. among primers, 10 selected rapd primers produced 160 bands, in which, 136 were polymorphic. cluster ...

Agglomerative hierarchical clustering (AHC) is one of the popular approaches. AHC generates a dendrogram that provides richer information and insights from dataset than partitioning clustering. However, major problem with existing distance-based methods is: it fails to effectively identify adjacent clusters varied densities, regardless cluster extraction applied resultant dendrogram. This paper...

In the activated sludge process, the share of filamentous bacteria is crucial for proper settlement and high sewage treatment efficiency. Disequilibrium of the microbial community may be a reason for the appearance of bulking episodes. During 19 months (August 2007-February 2009) activated sludge samples were collected and analyzed by physicochemical, microscopic, and molecular methods. Amplifi...