نتایج جستجو برای: generalized dissimilarity index

تعداد نتایج: 560217  

Journal: :Journal of neuroscience methods 2007
Jonathan D Victor David H Goldberg Daniel Gardner

Cost-based metrics formalize notions of distance, or dissimilarity, between two spike trains, and are applicable to single- and multineuronal responses. As such, these metrics have been used to characterize neural variability and neural coding. By examining the structure of an efficient algorithm [Aronov D, 2003. Fast algorithm for the metric-space analysis of simultaneous responses of multiple...

Journal: :Behavior Research Methods & Instrumentation 1975

2015
Rebecca Allen Simon Burgess Russell Davidson Frank Windmeijer

The most widely used measure of segregation is the so-called dissimilarity index. It is now well understood that this measure also reflects randomness in the allocation of individuals to units (i.e. it measures deviations from evenness, not deviations from randomness). This leads to potentially large values of the segregation index when unit sizes and/or minority proportions are small, even if ...

Journal: :Horticultura Brasileira 2021

ABSTRACT The success of breeding programs depends on genetic variability. Individuals selected based a few traits may be limitation. One alternative is the use nonparametric indices. However, there no information selection indices in melon germplasms. present study aimed to estimate dissimilarity germplasm and select potential parent plants for future programs. material consisted 37 accessions....

Journal: :Pattern Recognition Letters 2014
Xibin Zhu Frank-Michael Schleif Barbara Hammer

Semi-Supervised Learning Proximity Data Dissimilarity Data Conformal Prediction Generalized Learning Vector Quantization Existing semi-supervised learning algorithms focus on vectorial data given in Euclidean space. But many real life data are non-metric, given as (dis-)similarities which are not widely addressed. We propose a conformal prototype-based classifier for dissimilarity data to semi-...

2009
Paul A. Jargowsky Jeongdai Kim Nathan Berg Brian Berry Marie Chevrier Euel Elliott Yves Flückiger Christopher Jencks

Drawing on insights from Shannon’s (1948) seminal paper on Information Theory, we propose that all measures of segregation and inequality are united within a single conceptual framework. We argue that segregation is fundamentally analogous to the loss of information from an aggregation process. Integration is information loss and segregation is information retention. Specifying the exact theore...

2015
Frida Ben Rais Lasram Tarek Hattab Ghassen Halouani Mohamed Salah Romdhane François Le Loc'h Carlo Nike Bianchi

Spatial patterns of beta diversity are a major focus of ecology. They can be especially valuable in conservation planning. In this study, we used a generalized dissimilarity modeling approach to analyze and predict the spatial patterns of beta diversity for commercially exploited, demersal marine species assemblages along the Tunisian coasts. For this study, we used a presence/absence dataset w...

2015
Duncan Lee Jon Minton Gwilym Pryce

The degree of segregation between two or more sub-populations has been studied since the 1950s, and examples include segregation along racial and religious lines. The Dissimilarity index is a commonly used measure to numerically quantify segregation, using population level data for a set of areal units that comprise a city or country. However, the construction of this index usually ignores the ...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده علوم 1375

this thesis basically deals with the well-known notion of the bear-invariant of groups, which is the generalization of the schur multiplier of groups. in chapter two, section 2.1, we present an explicit formula for the bear-invariant of a direct product of cyclic groups with respect to nc, c>1. also in section 2.2, we caculate the baer-invatiant of a nilpotent product of cyclic groups wuth resp...

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