Answer:
The correct answer to the question is;
a. number of clusters.
Step-by-step explanation:
Clustering is the process of looking for smaller similar groups of observation within a set of data.
K-means clustering is a vector quantization method used in data mining cluster analysis. The objective of k-means clustering is to a given number of observations into k number of clusters whereby an observation is grouped in a cluster having the closest mean value, hence being representative of tha particular cluster. This is in atempt to make observations in a particular group to be similar.
In k-means clustering, the number of clusters is specified as k.
