Which of the following clustering methods is best suited for discovering cluster
Practice Questions
Q1
Which of the following clustering methods is best suited for discovering clusters of arbitrary shapes?
K-Means
DBSCAN
Agglomerative Clustering
Gaussian Mixture Models
Questions & Step-by-Step Solutions
Which of the following clustering methods is best suited for discovering clusters of arbitrary shapes?
Step 1: Understand what clustering means. Clustering is a way to group similar items together.
Step 2: Learn about different clustering methods. Some methods work better for certain shapes of clusters.
Step 3: Identify the problem. We want to find clusters that are not just round or square, but can be any shape.
Step 4: Discover DBSCAN. DBSCAN is a clustering method that can find clusters of any shape.
Step 5: Understand why DBSCAN is good for this. It can handle clusters that are close together or far apart, and it can find shapes that are not regular.
No concepts available.
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