What is the simplest clustering technique (hence the one you should use) to cluster a distribution like this?
What is the simplest clustering technique (hence the one you should use) to cluster a distribution like this?
Among the following clustering techniques, which ones can reject outliers? (in their classical formulation)
What is the K-Means algorithm trying to optimize?
Among the following applications, which one can be implemented with clustering?
Usually, a given sample can be assigned to a single cluster only, but there are clustering variants which can assign a weighted assignment of samples to multiple clusters.
How are such variants called?
Link each hierarchical clustering linkage technique (distance between two clusters) to the correct illustration.
When training a clustering model, what kind of inputs are we expecting?
When training a clustering model, what kind of target function (f : x ↦ y) are we learning?
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