Which clustering technique is suitable for discovering natural groupings in data
Practice Questions
Q1
Which clustering technique is suitable for discovering natural groupings in data?
Hierarchical Clustering
Linear Regression
Random Forest
Naive Bayes
Questions & Step-by-Step Solutions
Which clustering technique 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 techniques. There are several methods, but we will focus on hierarchical clustering.
Step 3: Know what hierarchical clustering does. It organizes data into a tree-like structure called a dendrogram, which shows how clusters are formed.
Step 4: Realize that hierarchical clustering helps to find natural groupings. It does this by merging smaller clusters into larger ones based on similarity.
Step 5: Conclude that hierarchical clustering is suitable for discovering natural groupings in data because it visually represents the relationships between clusters.
