To study and implement the K-Means Clustering algorithm for similarity-based grouping
In K-means Clustering, the number of clusters to be formed is denoted by the parameter ________.
The ________ is a measure used in K-means Clustering to calculate the similarity between a data point and a cluster centroid.
K-means Clustering can be applied to which type(s) of data?
The centroid in K-means Clustering represents __________.
The K-means algorithm begins by __________.