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Secondly, we present an improved K-Medoids clustering algorithm to merge several patterns with similar variation behaviors into a common cluster.
The feature vectors located in a common cluster is excluded.
Those devices into a common cluster (e.g. femtoBS, macroBS, relays, etc).
where α u is the label defined for the u th cluster, and α u =0 represents a common cluster.
The resulting distances are then used to cluster web pages, where the aim is to group all pages written by the same author in a common cluster.
Towards this end, the career prediction module analyzes data from learners' profile and career disposition values in order to predict a hypothetical career practice and bring learners with similar career patterns together into a common cluster.
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Baidu tracked its users throughout each day for more than six months in 2014 and 2015 and used a common clustering algorithm to calculate their home location.
Moreover, our data do not show a common clustering of the the Latxa and Churra sheep (Figs 1 and 2), suggesting that they do not have a common origin.
To obtain position estimates from intensities in TSSG/ALM, we use a common clustering scheme.
Furthermore, a hybrid colour quantisation algorithm which combines a generic optimisation approach with a common clustering algorithm is shown to lead to improved image quality.
This idea is illustrated in Fig. 2A which shows the populations of ensemble A, B and C in each of the 12 clusters obtained using a common cluster-preference value of −10.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com