Text Clustering with Seeds Affinity Propagation
نویسندگان
چکیده
منابع مشابه
Adaptive Affinity Propagation Clustering
Affinity propagation clustering (AP) has two limitations: it is hard to know what value of parameter ‘preference’ can yield an optimal clustering solution, and oscillations cannot be eliminated automatically if occur. The adaptive AP method is proposed to overcome these limitations, including adaptive scanning of preferences to search space of the number of clusters for finding the optimal clus...
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Affinity propagation (AP) is a clustering method that can find data centers or clusters by sending messages between pairs of data points. Seed Affinity Propagation is a novel semisupervised text clustering algorithm which is based on AP. AP algorithm couldn’t cope up with part known data direct. Therefore, focusing on this issue a semi-supervised scheme called incremental affinity propagation c...
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Recently the text mining has emerged as one of the most important fields of data mining because of most of the searching in the web is done on the basis of provided text, also the increasing use of social web network uses the text as major component and extracting the effective information directly or indirectly requires an efficient grouping algorithm which should be capable of providing effic...
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ژورنال
عنوان ژورنال: IEEE Transactions on Knowledge and Data Engineering
سال: 2011
ISSN: 1041-4347
DOI: 10.1109/tkde.2010.144