January 15, 2021
Clustering, in the context of machine learning, is the act of creating homogenous groups, with similar observations, from the heterogenous raw data. In clustering problems, the algorithm has to figure out the number of groups as well as what they are i.e. the factors that make the observations in the group similar to each other and distinct from other groups. The number of groups in clustering problems may change with the choice of algorithm.
by : Monis Khan
Quick Summary:
Clustering, in the context of machine learning, is the act of creating homogenous groups, with similar observations, from the heterogenous raw data. In clustering problems, the algorithm has to figure out the number of groups as well as what they are i.e. the factors that make the observations in the group similar to each other […]