Which among the following is/are some of the assumptions made by the k-means algorithm (assuming Euclidean distance measure)? A) Clusters are spherical in shape B) Clusters are of similar sizes C) Data points in one cluster are well separated from data points of other clusters D) There is no wide variation in density among the data points
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D) There is no wide variation in density among the data points.
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HERE IS UR ANSWER...
D) There is no wide variation in density among the data points.
HOPE IT'S HELP YOU...
THANKS☺️☺️☺️
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