What does Cluster Analysis aim to achieve?

• A. Group dissimilar objects together
• B. Find correlations between all variables
• C. Group similar objects together
• D. Eliminate outliers from data

Answer: (C)

Cluster Analysis is primarily focused on identifying and grouping similar objects or observations within a dataset based on their attributes or characteristics. The objective is to partition the data into distinct clusters so that the objects within each cluster exhibit high similarity to each other while being dissimilar to objects in other clusters. This technique is particularly useful in various fields such as market research, image analysis, and social science, as it aids in recognizing patterns and making sense of complex data.

By grouping similar objects together, Cluster Analysis facilitates better understanding and interpretation of the data structure, which can subsequently inform decision-making processes. It helps in identifying natural groupings within the data without requiring predefined categories or labels, making it a powerful exploratory data analysis technique.