The least sample size essential for detecting changes in clustering solutions of streaming datasets
Muhammad Atif,
Muhammad Farooq,
Mohammad Abiad
et al.
Abstract:The clustering analysis approach treats multivariate data tuples as objects and groups them into clusters based on their similarities or dissimilarities within the dataset. However, in modern world, a significant volume of data is continuously generated from diverse sources over time. In these dynamic scenarios, the data is not static but continually evolves. Consequently, the interesting patterns and inherent subgroups within the datasets also change and develop over time. The researchers have paid special at… Show more
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