The various use cases that can be solved with the help of clustering algorithms are as follows:
A typical business case would be to launch a segmented marketing campaign, but in most cases, we would have the information to segment the customers with just a few attributes about the user. In order to divide the customers into different groups, we need to rely on the unsupervised algorithm. We can cluster the customers into different groups using an unsupervised centroid-based clustering method such as the K-means algorithm and can launch a segmented marketing campaign to these customer groups.
Clustering algorithms are widely used in the field of research such as genetics clustering that helps in identifying a category that a particular species belongs to, grouping the medicines into different categories, identifying if the data shows up characteristics of any disease, and much more.
Clustering algorithms also play an important role in the search engine field, where the search...