Meaning of K-Means Clustering

Simple definition

K-means clustering is an unsupervised machine learning algorithm that groups data points into a specified number of clusters based on their similarities.

How to use K-Means Clustering in a professional context

K-means is used in marketing to segment customers, in biology to classify species, and in finance to identify patterns in transaction data.

Concrete example of K-Means Clustering

An e-commerce company uses K-means to group customers based on purchase behavior, creating targeted marketing strategies for each cluster.