1,473 research outputs found

    Ward's Hierarchical Clustering Method: Clustering Criterion and Agglomerative Algorithm

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    The Ward error sum of squares hierarchical clustering method has been very widely used since its first description by Ward in a 1963 publication. It has also been generalized in various ways. However there are different interpretations in the literature and there are different implementations of the Ward agglomerative algorithm in commonly used software systems, including differing expressions of the agglomerative criterion. Our survey work and case studies will be useful for all those involved in developing software for data analysis using Ward's hierarchical clustering method.Comment: 20 pages, 21 citations, 4 figure

    Degenerating families of dendrograms

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    Dendrograms used in data analysis are ultrametric spaces, hence objects of nonarchimedean geometry. It is known that there exist pp-adic representation of dendrograms. Completed by a point at infinity, they can be viewed as subtrees of the Bruhat-Tits tree associated to the pp-adic projective line. The implications are that certain moduli spaces known in algebraic geometry are pp-adic parameter spaces of (families of) dendrograms, and stochastic classification can also be handled within this framework. At the end, we calculate the topology of the hidden part of a dendrogram.Comment: 13 pages, 8 figure

    Evaluation of cosmic ray rejection algorithms on single-shot exposures

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    To maximise data output from single-shot astronomical images, the rejection of cosmic rays is important. We present the results of a benchmark trial comparing various cosmic ray rejection algorithms. The procedures assess relative performances and characteristics of the processes in cosmic ray detection, rates of false detections of true objects and the quality of image cleaning and reconstruction. The cosmic ray rejection algorithms developed by Rhoads (2000), van Dokkum (2001), Pych (2004) and the IRAF task xzap by Dickinson are tested using both simulated and real data. It is found that detection efficiency is independent of the density of cosmic rays in an image, being more strongly affected by the density of real objects in the field. As expected, spurious detections and alterations to real data in the cleaning process are also significantly increased by high object densities. We find the Rhoads' linear filtering method to produce the best performance in detection of cosmic ray events, however, the popular van Dokkum algorithm exhibits the highest overall performance in terms of detection and cleaning.Comment: 12 pages, 4 figures, accepted for publication in PAS

    Space Weather & GPS Reliant Industries

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    Mumford dendrograms and discrete p-adic symmetries

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    In this article, we present an effective encoding of dendrograms by embedding them into the Bruhat-Tits trees associated to pp-adic number fields. As an application, we show how strings over a finite alphabet can be encoded in cyclotomic extensions of Qp\mathbb{Q}_p and discuss pp-adic DNA encoding. The application leads to fast pp-adic agglomerative hierarchic algorithms similar to the ones recently used e.g. by A. Khrennikov and others. From the viewpoint of pp-adic geometry, to encode a dendrogram XX in a pp-adic field KK means to fix a set SS of KK-rational punctures on the pp-adic projective line P1\mathbb{P}^1. To P1∖S\mathbb{P}^1\setminus S is associated in a natural way a subtree inside the Bruhat-Tits tree which recovers XX, a method first used by F. Kato in 1999 in the classification of discrete subgroups of PGL2(K)\textrm{PGL}_2(K). Next, we show how the pp-adic moduli space M0,n\mathfrak{M}_{0,n} of P1\mathbb{P}^1 with nn punctures can be applied to the study of time series of dendrograms and those symmetries arising from hyperbolic actions on P1\mathbb{P}^1. In this way, we can associate to certain classes of dynamical systems a Mumford curve, i.e. a pp-adic algebraic curve with totally degenerate reduction modulo pp. Finally, we indicate some of our results in the study of general discrete actions on P1\mathbb{P}^1, and their relation to pp-adic Hurwitz spaces.Comment: 14 pages, 6 figure

    A systematic review and critical appraisal of quality indicators to assess optimal palliative care for older people with dementia

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    © The Author(s) 2019Background: A challenge for commissioners and providers of end-of-life care in dementia is to translate recommendations for good or effective care into quality indicators that inform service development and evaluation. Aim: To identify and critically evaluate quality indicators for end-of-life care in dementia. Results: We found 8657 references, after de-duplication. In all, 19 publications describing 10 new and 3 updated sets of indicators were included in this review. Ultimately, 246 individual indicators were identified as being relevant to dementia end-of-life care and mapped against EAPC guidelines. Conclusions: We systematically derived and assessed a set of quality indicators using a robust framework that provides clear definitions of aspects of palliative care, which are dementia specific, and strengthens the theoretical underpinning of new complex interventions in end-of-life care in dementia.Peer reviewedFinal Published versio

    Does perception of automation undermine pro-environmental behaviour? Findings from three everyday settings

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    The global deployment of technology to aid mitigation of climate change has great potential but the realisation of much of this potential depends on behavioural response. A culturally pervasive reliance on and belief in technology raises the risk that dependence on technology will hamper human actions of mitigation. Theory suggests that ‘green’ behaviour may be undermined by automated technology but empirical investigation has been lacking. We examined the effect of the prospect of automation on three everyday behaviours with environmental impact. Based on evidence from observational and experimental studies, we demonstrated that the prospect of automation can undermine even simple actions for sustainability. Further, we examined the process by which automated technology influences behaviour and suggest that automation may impair personal responsibility for action

    Spectral Classification of Galaxies

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    We investigate the integrated spectra of a sample of 24 normal galaxies. A principal component analysis suggests that most of the variance present in the spectra is due to the differences in morphology of the galaxies in the sample. We show that spectroscopic parameters extracted from the spectra, like the amplitude of the 4000 \AA~ break or of the CN band, correlate well with Hubble types and are useful for quantitative classification.Comment: 7 pages uuencoded compressed PostScript file. To appear in Vistas in Astronomy, special issue on Artificial Neural Networks in Astronom
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