Which clustering algorithm is particularly effective for identifying clusters of

Which clustering algorithm is particularly effective for identifying clusters of varying shapes and densities?

Which clustering algorithm is particularly effective for identifying clusters of varying shapes and densities?

Step 1: Understand what clustering means. Clustering is a way to group similar items together.
Step 2: Learn about different clustering algorithms. There are many algorithms, but they work in different ways.
Step 3: Identify the problem with some algorithms. Some clustering algorithms assume that clusters are round (spherical) and evenly spaced.
Step 4: Discover DBSCAN. DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise.
Step 5: Understand how DBSCAN works. DBSCAN groups points that are close together and can find clusters of different shapes and sizes.
Step 6: Recognize the advantage of DBSCAN. It can identify clusters that are not just round and can handle varying densities of points.

No concepts available.