A SOM Based Incremental Clustering Algorithm

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Provided by: Academy Publisher
Topic: Big Data
Format: PDF
Due to fast development of network technique, internet users have to face to massive textual data every day. Because of unsupervised merit of clustering, clustering is a good solution for users to analyze and organize texts into categories. However, most of recent clustering algorithms conduct in static situation. That indicates, it doesn't allow clustering algorithm to deal with novel data efficiently. When novel data appear, traditional clustering algorithms can't change their structure easily. Obviously, this restrict is not fit to internet, since novel data appear at any time.
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