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A K-Means Clustering Algorithm
J. A. Hartigan,M. A. Wong +1 more
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This article is published in Journal of The Royal Statistical Society Series C-applied Statistics.The article was published on 1979-03-01. It has received 10702 citations till now. The article focuses on the topics: Canopy clustering algorithm & Correlation clustering.read more
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Classification, Filtering, and Identification of Electrical Customer Load Patterns Through the Use of Self-Organizing Maps
TL;DR: Test the ability of self-organizing maps (SOMs) to filter, classify, and extract patterns from distributor, commercializer, or customer electrical demand databases to show the suitability to improve data management and to easily find coherent clusters between electrical users.
Journal ArticleDOI
genomation: a toolkit to summarize, annotate and visualize genomic intervals
TL;DR: An R package, genomation, to expedite the extraction of biological information from high throughput data that works with a variety of genomic interval file types and enables easy summarization and annotation of high throughputData sets with given genomic annotations.
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Identification of cyclone-track regimes in the North Atlantic
TL;DR: In this article, a Langrangian-type climatology of North Atlantic cyclones is established based on the high-resolution European Centre for Medium-Range Weather Forecasts data-set of the 1000 hPa height-field.
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Classification of NPY-Expressing Neocortical Interneurons
Anastassios Karagiannis,Thierry Gallopin,Csaba Dávid,Demian Battaglia,Hélène Geoffroy,Jean Rossier,Elizabeth M. C. Hillman,Jochen F. Staiger,Bruno Cauli +8 more
TL;DR: This study characterized distinct populations of NPY neurons in acute slices of rat barrel cortex by means of whole-cell patch-clamp recordings, biocytin labeling, and single-cell reverse transcriptase-PCR designed to probe for the expression of well established molecular markers for cortical neurons.
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EEG beta band activity is related to attention and attentional deficits in the visual performance of elderly subjects
TL;DR: It is posited that the beta-band activity decrease recorded in low performing elderly subjects reflects difficulty in activation and deficits in sustaining attentional processes.
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