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A Similarity Between Uncertain Data Measurement Method Based on stochastic simulation

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Abstract

The distance measurement between uncertain data is an important basis for accurate clustering. Taking full advantage of the uncertainty characteristics of the object will help to represent the uncertain data more accurately and calculate its distance. Based on the probability distribution function t

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DOI
10.4108/eai.27-8-2020.2296730
OpenAlex
W3105655634
Document type
conference-paper
Language
EN
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