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A K-Means Clustering Algorithm

J. A. Hartigan, +1 more
- 01 Mar 1979 - 
- Vol. 28, Iss: 1, pp 100-108
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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.

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Antibiotic-resistant soil bacteria in transgenic plant fields

TL;DR: The results indicate that soil bacteria are naturally resistant to a broad spectrum of beta-lactam antibiotics, including the third cephalosporin generation, which has a slightly stronger discriminating effect on soil isolates than other cep Halosporins.
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An R package for spatial coverage sampling and random sampling from compact geographical strata by k-means

TL;DR: A new R package for designing spatial coverage samples for mapping, and for random sampling from compact geographical strata for estimating spatial means, with the mean squared shortest distance chosen as objective function.
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Comparing the performance of biomedical clustering methods

TL;DR: It is observed that there was no universal best performer, but on the basis of this wide-ranging comparison, a short guideline for biomedical clustering tasks was developed.
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A simple global river bankfull width and depth database

TL;DR: In this article, a simple near-global database of bankfull widths and depths along with confidence intervals was developed based on hydraulic geometry equations and the HydroSHEDS hydrography data set.
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Subspecialization in the human posterior medial cortex

TL;DR: Three distinct regions in the posterior medial cortex were identified and characterized their neural networks and functional implications and all PMC clusters were congruently coupled with the default mode network according to task-unconstrained but not task- Constrained connectivity.
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