Machine learning algorithm that finds hidden patterns or intrinsic structures in input data.
Clustering is an unsupervised ML method where the goal is to partition the data into meaningful groups or clusters, where data points within the same cluster are more similar to each other compared to those in other clusters.
Contrarily to classification/regression task there is NOT a target.
It is suitable in problems where we have unlabeled objects or where the process of labelling is expensive.
Clustering is a technique used in data analysis and machine learning to group similar data points or objects together based on their inherent characteristics or similarities. The goal of clustering is to discover natural groupings or patterns within a dataset, without the need for pre-defined labels or classes.