Why is clustering required in data analysis?

Clustering refers to the group of objects that belongs to the same class. It is a process to make a group of abstract objects into the class of similar objects. Clustering is required in data analysis due to the following reasons-

• Scalability- clustering is required to deal with large databases.
• Interpretability- the result of clustering should be comprehensive and usable.
• Dimensionality- the clustering algorithm is used to handle high-dimensional space.
• Deal with noisy data- Databases contains erroneous data. Algorithms that are sensitive to such data may deliver poor results.