Clustering: It is a technique used to group similar data points or observations into clusters or categories. The primary goal of clustering is to find patterns or structure in data, with the assumption that data points within the same cluster are more similar to each other than to those in other clusters. Clustering is commonly used in various fields, including machine learning, data analysis, pattern recognition, and data mining.
Clustering is a powerful technique for organizing and summarizing large and complex datasets, enabling researchers and analysts to identify hidden patterns and structures within their data. The choice of the clustering algorithm and parameters depends on the nature of the data and the goals of the analysis.
With the help of clustering, we are able to group the information with geo position, race, age groups. It makes easier to compare different kinds of groups and analyze the data to which is happening more and vice versa.