Explain What Is K-mean Algorithm?

1.	Explain What Is K-mean Algorithm?
Answer» 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. 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:

Answer»

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.

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:

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