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...

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 ...

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....

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-...

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...

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...

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 ...