K-means clustering
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1
In k-means clustering, the parameter 'k' represents:
A.The number of features
B.The number of clusters to form
C.The number of rows
D.The learning rate
2
In k-means clustering, each data point is assigned to the cluster with the nearest:
A.Centroid
B.Outlier
C.Label
D.Median feature
3
K-means clustering groups data by minimizing distance to what?
A.Network routers
B.Legal clauses
C.Cluster centers
D.Database passwords
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