Which of the following clustering methods can handle non-spherical clusters?

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Question: Which of the following clustering methods can handle non-spherical clusters?

Options:

Correct Answer: DBSCAN

Solution:

DBSCAN can handle non-spherical clusters as it groups points based on density rather than distance.

Which of the following clustering methods can handle non-spherical clusters?

Which of the following clustering methods can handle non-spherical clusters?

Step 1: Understand what clustering methods are. Clustering methods group similar data points together.
Step 2: Learn about spherical clusters. Spherical clusters are round-shaped groups of data points.
Step 3: Identify the problem. Some clustering methods only work well with spherical clusters.
Step 4: Introduce DBSCAN. DBSCAN is a clustering method that can group data points based on how close they are to each other in terms of density.
Step 5: Explain density. Density means how many points are in a certain area. DBSCAN looks for areas with a lot of points to form clusters.
Step 6: Conclude that DBSCAN can handle non-spherical clusters because it focuses on density, not just distance.

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