Hierarchical clustering is a data analysis method that has been used for decades. Despite its widespread use, the method has an underdeveloped analytical foundation. Having a well understood foundation would both support the currently used methods and help guide future improvements. The goal of this paper is to give an analytic framework to better understand observations seen in practice. This ...

This study introduces a novel technique to identify foot outline characteristics and to classify feet into groups using turning functions and clustering techniques so that shape can complement anthropometry in producing good fitting shoes. The digital 3D foot scans, obtained from 50 Hong Kong Chinese subjects (25males and 25 females)were processed to generate the foot outlines at heights of 2mm...

Genetic diversity and variation among 11 populations of Chinese fir from Fujian province and Taiwan were assessed using inter-simple sequence repeat (ISSR) markers to reveal the evolutionary relationship in their distribution range in this report. Analysis of genetic parameters of the different populations showed that populations in Fujian province exhibited a greater level of genetic diversity...

Motivation: UPGMA (average-linkage clustering) is probably the most popular algorithm for hierarchical data clustering, especially in computational biology. UPGMA however, is a complete-linkage method, in the sense that all edges between data points are needed in memory. Due to this prohibitive memory requirement UPGMA is not scalable for very large datasets. Results: We present novel memory-co...

study of genetic relationships is a prerequisite for plant breeding activities as well as for conservation of genetic resources. in the present study, genetic diversity among and within 15 iranian native ajowan(carum copticum l.) populations were determined using inter simple sequence repeat (issr) markers. twelve selected primers produced 153 discernible bands, with 93 (60.78%) being polymorph...

Aims: To Analysis of genetic variability in Tulsi (Ocimum sanctum) genotypes by using RAPD & SSR Markers.
 Place and Duration Study: Department Plant Biotechnology at K.K.Wagh College Agricultural Biotechnology, Nashik.
 Methodology: Ocimum tenuiflorum Linn., commonly known as Tulsi, is an aromatic plant with significant traditional medicinal value. assess the diversity relatednes...

Cluster analysis (Jain & Dubes, 1988) provides insight into the data by dividing the objects into groups (clusters), such that objects in a cluster are more similar to each other than objects in other clusters. Cluster analysis has long played an important role in a wide variety of fields, such as psychology, bioinformatics, pattern recognition, information retrieval, machine learning, and data...

in this study genetic diversity of eight iranian sheep breeds including; lori bakhtiari, makuei, moghani, taleshi, shal, zandi, naeini and kalakui was studied by using aflp method. a total of 309 individuals were analysed that produced 121 clear polymorphic bands. the average of heterozygosity within breed (hs) was high and equal to 0.2795± 0.0255. also, the average heterozygosity between breed...