Why so many clustering algorithms: a position paper

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An Evolutionary Approach to Multiobjective Clustering (2007, background): “tering objectives can be conflicting or complementary, and that no single clustering objective can deal with every conceivable cluster structure [32], [33].”
Big IoT Data Analytics: Architecture, Opportunities, and Open Research Challenges (2017, background): “For example, Bayesian network, Classiﬁcation is a supervised learning approach that uses prior knowledge as training data to classify data objects into groups [46].”