for an AI system and is the way we "teach" a computer model to make prediction and draw conclusions from data. Machine learning automates the process of pattern-discovery by finding meaningful insights from real-world or generated data.
looks to find objects that resemble one another and group these into groups called clusters. • Clustering algorithms are used to process raw, unclassified data objects into groups represented by structures or patterns in the information.
created using clustering algorithms • Elbow method: a heuristic used in determining the number of clusters in a data set • Inertia: a measure of how internally coherent clusters are • Variance: the average of the squared differences from the Mean