Which clustering method is suitable for discovering natural groupings in data?
Practice Questions
Q1
Which clustering method is suitable for discovering natural groupings in data?
Hierarchical Clustering
Linear Regression
Random Forest
Naive Bayes
Questions & Step-by-Step Solutions
Which clustering method is suitable for discovering natural groupings in data?
Step 1: Understand what clustering means. Clustering is a way to group similar items together based on their characteristics.
Step 2: Learn about different clustering methods. There are several methods, but we will focus on hierarchical clustering.
Step 3: Know what hierarchical clustering does. It creates a tree-like structure (called a dendrogram) that shows how clusters are formed.
Step 4: Realize that hierarchical clustering helps to find natural groupings in data. It does this by merging similar items step by step.
Step 5: Conclude that hierarchical clustering is suitable for discovering natural groupings because it visually represents the relationships between clusters.
