International Journal of Bioinformatics and Biomedical Engineering
Articles Information
International Journal of Bioinformatics and Biomedical Engineering, Vol.1, No.2, Sep. 2015, Pub. Date: Jul. 21, 2015
Proposing a Graph Mining Method on Medical Networks
Pages: 93-100 Views: 852 Downloads: 376
Authors
[01] Brayan Keritino, Department of Computer Engineering, Open University of Kiev, Kiev, Ukraine.
[02] Quio Feri, Department of Computer Engineering, Open University of Kiev, Kiev, Ukraine.
[03] Lionip Cheler, Department of Computer Engineering, Open University of Kiev, Kiev, Ukraine.
Abstract
Clustering algorithms can be categorized based on their cluster model, as listed above. The following overview will only list the most prominent examples of clustering algorithms, as there are possibly over 100 published clustering algorithms. Not all provide models for their clusters and can thus not easily be categorized. An overview of algorithms explained in Wikipedia can be found in the list of statistics algorithm. The clustering model most closely related to statistics is based on distribution models. Clusters can then easily be defined as objects belonging most likely to the same distribution. A convenient property of this approach is that this closely resembles the way artificial data sets are generated: by sampling random objects from a distribution. Here we proposed a distributed clustering to bag data clustering.
Keywords
Graph Mining, Big Data Mining, Fuzzy, Distributed Dataset, Medical Networks
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