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Particle number size distribution statistics at City-Centre Urban Background, urban background, and remote stations in Greece during summer

TLDR
Particle number size distribution measurements were conducted during the summer of 2012 at City-Centre Urban Background (Patras-C), Urban Background, ICE-HT in Patras, DEM in Athens, EPT in Thessaloniki, and Regional Background stations (FIN in Crete) as mentioned in this paper.
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This article is published in Atmospheric Environment.The article was published on 2019-09-15. It has received 15 citations till now.

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Scikit-learn: Machine Learning in Python

TL;DR: Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
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Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

TL;DR: A new graphical display is proposed for partitioning techniques, where each cluster is represented by a so-called silhouette, which is based on the comparison of its tightness and separation, and provides an evaluation of clustering validity.

Atmospheric chemistry and physics: from air pollution to climate change.

TL;DR: In this article, the authors present a model for the chemistry of the Troposphere of the atmosphere and describe the properties of the Atmospheric Aqueous phase of single aerosol particles.
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Atmospheric Chemistry and Physics: From Air Pollution to Climate Change

TL;DR: In this paper, the authors present a model for the chemistry of the Troposphere of the atmosphere and describe the properties of the Atmospheric Aqueous phase of single aerosol particles.
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