An Unsupervised Machine Learning Algorithms: Comprehensive Review

Machine learning (ML) is a data-driven strategy in which computers learn from data without human intervention.The outstanding ML applications are used in a variety of areas.In ML, there are three types of learning problems: Supervised, Unsupervised, and Semi-Supervised Learning.Examples of unsupervised learning techniques and algorithms include Apriori algorithm, ECLAT algorithm, frequent pattern growth algorithm, clustering using k-means, principal components analysis.Objects are grouped based on their same properties.The clustering algorithms are divided into two categories: hierarchical clustering and partition clustering.Many unsupervised learning techniques and algorithms have been created during the last…