Clustering
We will begin this section with a question. How do we start learning a new algorithm or a machine learning method? We start with triple W. So, let's being with that for the clustering method.
What is clustering?
Clustering is a technique to group similar data together, and a group has some unique characteristics that are different from other groups. Data can be clustered together using various methods. One of them is rule-based, where the groups are formed based on certain predefined conditions, such as grouping customers based on their age or industry. Another method is to use ML algorithms to cluster data together.
Where is clustering used?
Being an unsupervised learning process, it is most often used in industries to deduce logical relationships and patterns from data. Clustering finds its application across sectors and business functions. It is used for information retrieval, customer segmentation, image segmentation, clustering unstructured text like web pages, news articles...
