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Answers
K mean is a famous partitioning method. Objects are classified as belonging to one of K groups, k chosen a priori.
In K-mean algorithm:
The clusters are spherical: the data points in a cluster are centered around that cluster
The variance/spread of the clusters is similar: Each data point belongs to the closest cluster. Your Comment
In K-mean algorithm:
The clusters are spherical: the data points in a cluster are centered around that cluster
The variance/spread of the clusters is similar: Each data point belongs to the closest cluster. Your Comment
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