Types of problem suited to big data analysis. (3)

 


Clustering Problems

Clustering problems have to do with partitioning the data into groups of similar data points without using any predefined categories. For instance, a retailer might want to classify customers based on their shopping habits to get to know different types of buyers better. A large-scale data analysis identifies inherent clusters or groups in the data, thus uncovering hidden patterns that were not visible before.

This kind of problem enables the businesses to customize their marketing campaigns, suggest the right products, or even make the customer service better by recognizing the groups which have different preferences. Clustering is one of the most commonly used techniques in the research of the market, social network analysis, and image recognition.

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