Kittichai Lavangnananda

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Many clustering techniques require pre-existing knowledge or user-defined input parameters, which substantially influence their effectiveness [35], [36]. To address challenge, automatic or parameter-free clustering methodologies have been introduced. In this subsection, we discuss widely used clustering techniques that do not require users to specify parameters but involve technically adjustable parameters such as objective function, convergence, and tolerance.