Meta-Learning For Better Machine Learning
Rocket-Powered Data Science
DECEMBER 16, 2018
An example of a cold start problem is k -Means Clustering, where the number of clusters k in the data set is not known in advance, and the locations of those clusters in feature space ( i.e., the cluster means) are not known either. What is missing in the above discussion is the deeper set of unknowns in the learning process.
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