An Efficient Methodology for Clustering Uncertain Data Based on Similarity Measure
نویسندگان
چکیده
منابع مشابه
An Efficient Divergence and Distribution Based Similarity Measure for Clustering Of Uncertain Data
Data Mining is the extraction of hidden predictive information from large databases. Clustering is one of the popular data mining techniques. Clustering on uncertain data, one of the essential tasks in mining uncertain data, posts significant challenges on both modeling similarity between uncertain objects and developing efficient computational methods. The previous methods extend traditional p...
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ژورنال
عنوان ژورنال: IOSR Journal of Computer Engineering
سال: 2016
ISSN: 2278-8727,2278-0661
DOI: 10.9790/0661-1804051216