Explain what is K-mean Algorithm?
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