What is Clustering in Machine Learning?

Clustering is a method for organizing data points with similar characteristics into clusters to help better understand it and make more accurate predictions. Distributed algorithms model clusters using complex statistical models like multivariate Gaussian mixture models in expectation-maximization algorithm, making their development both laborious and time consuming. Identifying Similarity Clustering works by grouping data points…