In ___________, the data is grouped into clusters, where each cluster indicate something about categories and classes present in the data.a.non-parameterized unsupervised learningb.non-parameterized supervised learningc.parameterized unsupervised learningd.parameterized supervised learning
Question
In ___________, the data is grouped into clusters, where each cluster indicate something about categories and classes present in the data.a.non-parameterized unsupervised learningb.non-parameterized supervised learningc.parameterized unsupervised learningd.parameterized supervised learning
Solution
The correct answer is a. non-parameterized unsupervised learning. In non-parameterized unsupervised learning, the data is grouped into clusters. Each cluster indicates something about the categories and classes present in the data. This is because unsupervised learning is a type of machine learning that looks for previously undetected patterns in a data set with no pre-existing labels and with a minimum of human supervision. In contrast, in supervised learning, both input and desired output data are provided.
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