Cluster analysis is like a sorting game. Imagine you have a bunch of shapes, like circles, squares, and triangles. You need to sort them into piles. A cluster analysis is like a sorting game where the shapes represent data, like age, height, or price. The goal of the game is to sort the data into piles, or clusters, that are similar to one another based on the characteristics of the data. For example, you might put all of the circles in one pile, all of the squares in another, and all of the triangles in a third. That way, when you look at each pile, you can easily see what the data points have in common. Cluster analysis is used to find patterns or groups in data and to explore relationships between those patterns. Clusters can be used to make predictions, like what kind of customers will buy a certain product or what kind of diseases are linked together.