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Clustering has a long and rich history in a variety of scientific fields.
The results show that SOM text clustering has a good potential to improve overall knowledge reuse and exploitation.
The predictions show that Re clusters are unstable in fcc Ni and it is unlikely that clustering has a role in improving creep and fatigue properties (the rhenium-effect) in Ni-based superalloys.
Although volatility clustering has a long history as a salient empirical regularity characterizing high-frequency speculative prices, it was not until recently that applied researchers in finance have recognized the importance of explicitly modeling time-varying second-order moments.
Ali et al. [27] proposed hot wire-laser probe beam method to measure nanofluid thermal conductivity and confirmed that particle clustering has a significant effect on thermal conductivity enhancement.
The WEKA implementation of the EM Clustering has a built-in functionality to auto-detect the number of clusters by using cross-validation: Starting at 1, it iteratively increases the number of clusters, using the log-likelihood of the test-fold compounds as quality measure.
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The buckyball has a net negative charge, while the metal cluster has a net positive one.
Each K-means cluster has a Majority-Treatment category flag: Plasma (untreated) or PMA.
Each cluster has a departmental owner, also known as the master subject number.
The cluster has a total net charge Q="∑i= 1,nqi (Q>0 or Q<0).
Cambridge University, which powers the cluster, has a number of high cards.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com