In data mining and machine learning, k q-flats algorithm is an iterative method which aims to partition m observations into k clusters where each cluster is close to a q-flat, where q is a given integer. It is a generalization of the k-means algorithm.
In data mining and machine learning, k q-flats algorithm is an iterative method which aims to partition m observations into k clusters where each cluster is close to a q-flat, where q is a given integer. It is a generalization of the k-means algorithm.
Source: Wikipedia "K q-flats" · CC BY-SA 4.0
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