A Multi-view Non-parametric Clustering Approach to Mobile Subscriber Segmentation
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Cites background or result from "A Multi-view Non-parametric Cluster..."
...All resulting clusters should allow the MNO to distinguish them apart [13], allowing it to respond and plan the aspects of the whole network differently....
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...Demographic clustering can be performed by looking at subscriber’s information such as age, gender, marital status, and also financial income [12,13,15]....
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...ll l i l s l all the MNO to distinguish them apart [13], allowing it to respond and plan the aspects of the whole network differently....
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...This is a process that has not been substantially explored in this area in question, even though there is some previous work [12,13] that can be found about techniques to cluster subscribers....
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References
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"A Multi-view Non-parametric Cluster..." refers methods in this paper
...Customer segmentation using clustering techniques has been well studied in literature [2]....
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"A Multi-view Non-parametric Cluster..." refers methods in this paper
...The multi-view versions of partitioning and agglomerative, hierarchical methods for text data have been developed and studied [3]....
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"A Multi-view Non-parametric Cluster..." refers background in this paper
...According to the taxonomy for multiple clustering solutions discussed in [1], multiple clusterings could be discovered: • in the original feature space • by orthogonal space transformations • by different subspace projections • in multiple views/sources The algorithms to perform multiple…...
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...One way to cope with this effect is to identify relevant dimen- sions (views/subspaces/space transformations) and restrict distance computation to these views [1]....
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