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2018
As we learned in Chaps. 7, 8, and 9, classification could help us make predictions on new observations. However, classification requires (human supervised) predefined label classes. What if we are in the early phases of a study and/or don’t have the required resources to manually define, derive, or generate these class labels?
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As we learned in Chaps. 7, 8, and 9, classification could help us make predictions on new observations. However, classification requires (human supervised) predefined label classes. What if we are in the early phases of a study and/or don’t have the required resources to manually define, derive, or generate these class labels?
openaire +1 more source
Robustness Properties of k Means and Trimmed k Means
Journal of the American Statistical Association, 1999Luis Angel Garcia-Escudero +1 more
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Bengali Document Clustering: A Comparative Study of K-Means, K-Means++, Spectral K-Means
Amartya Roy +2 moreopenaire +1 more source