Cluster Analysis (page 1 of 6)

Cluster analysis is the practice of gathering up a bunch of things and separating them into groups of similar things and segregating them from dissimilar things. It is a type of unsupervised machine learning technique. Analysts often use different clustering algorithms as a preliminary step to explore and identify patterns in data without known targets. Different cluster algorithms such as k-means or dbscan identify observations based on shared properties and divides them into separate groups (clusters).