clustering-based approaches
Clustering-based approaches refer to techniques or algorithms that group similar objects or data points together based on their characteristics or attributes. These approaches aim to identify inherent patterns or similarities within a dataset, allowing for the creation of distinct subgroups or clusters. By grouping objects with similar qualities, clustering-based approaches enable the analysis and extraction of meaningful insights from complex datasets.
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