نتایج جستجو برای: 4a dendrogram constructed on dice dissimilarity coefficients by neighbor

تعداد نتایج: 11709258  

2013
Lan Huang Guishen Wang Yan Wang Enrico Blanzieri Chao Su

Link Clustering (LC) is a relatively new method for detecting overlapping communities in networks. The basic principle of LC is to derive a transform matrix whose elements are composed of the link similarity of neighbor links based on the Jaccard distance calculation; then it applies hierarchical clustering to the transform matrix and uses a measure of partition density on the resulting dendrog...

2002
R. D. Braddock

Dendrograms and minimum-weight spanning trees (MWST) are discrete structures which arise in clustering theory, networks, and where strategic choices are made between discrete options. The discrete structure of the solution tree varies discontinuously with respect to changes in the dissimilarity or cost matrix. Tarjan [1982] has obtained bounds on the changes to the elements of the cost matrix, ...

Journal: :Journal of neuroimaging : official journal of the American Society of Neuroimaging 2016
Elisabetta C Del Re Yi Gao Ryan Eckbo Tracey L Petryshen Gabriëlla A M Blokland Larry J Seidman Jun Konishi Jill M Goldstein Robert W McCarley Martha E Shenton Sylvain Bouix

UNLABELLED Brain masking of MRI images separates brain from surrounding tissue and its accuracy is important for further imaging analyses. We implemented a new brain masking technique based on multi-atlas brain segmentation (MABS) and compared MABS to masks generated using FreeSurfer (FS; version 5.3), Brain Extraction Tool (BET), and Brainwash, using manually defined masks (MM) as the gold sta...

2013
Agata Manolova Anne Guérin-Dugué

Dissimilarities are extremely useful in many real-world pattern classification problems, where the data resides in a complicated, complex space, and it can be very difficult, if not impossible, to find useful feature vector representations. In these cases a dissimilarity representation may be easier to come by. The goal of this work is to provide a new technique based on Support Vector Machines...

Machine-learning solutions to classification, clustering and matching problems critically depend on the adopted metric, which in the past was selected heuristically. In the last decade, it has been demonstrated that an appropriate metric can be learnt from data, resulting in superior performance as compared with traditional metrics. This has recently stimulated a considerable interest in the to...

2010
Peter Langfelder Rui Luo Michael C. Oldham Steve Horvath

Several studies have explored how co-expression module networks change between mouse tissues [1] and/or genders [2]. Here we re-analyze mouse liver samples of an F2 mouse intercross [3,4] to study whether “female” modules (i.e., modules found in a network based on female mice) are preserved in the corresponding male network. The data sets consist of 135 female and 124 male samples. The modules ...

Journal: :Genetics and molecular research : GMR 2010
M Sesli E D Yegenoglu

Five different similarity coefficients (Jaccard, Sorensen-Dice, simple matching, Rogers and Tanimoto, and Russel and Rao) were evaluated and 10 wild olives analyzed with RAPD markers. The influence of the similarity coefficients on wild olives clustering was investigated. Forty-five primers were used on samples from 10 wild olives (Wild 1 and 2 obtained from Mugla province; Wild 3, 4, 5, 6, 7, ...

2013
Mohammad Afzal Gulshan Ara Yasir Hasan Siddique BO North

Two major religious groups of India were studied, viz. Hindu and Muslim. The survey was confined to 1059 individuals of Aligarh city (UP). Households were selected on random a priori basis during day time by door to door contact. Muslims populations were Syed, Sheikh, Pathan, Ansari and Hindus were Brahmin, Bania, Rajput, Jatav. Gene frequency, allele frequency, heterozygosity, genetic identity...

2018
Nebi Gedik Ayten Atasoy

Abstract—This paper investigates successful sub-bands of wave atom transform via classification of mammograms, when the coefficients of sub-bands are used as features. A computer-aided diagnosis system is constructed by using wave atom transform, support vector machine and k-nearest neighbor classifiers. Two-class classification is studied in detail using two data sets, separately. The successf...

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