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</html><description>Description: Multi-dimensional clustering refers to clustering techniques that operate on data with multiple dimensions, allowing for the capture of more complex relationships. This approach is fundamental in unsupervised learning, where the goal is to identify patterns and structures in datasets without predefined labels. Unlike unidimensional clustering methods, which consider only one feature at a time, [&hellip;]</description></oembed>
