Question: Which clustering algorithm is based on density?
Options:
K-Means
Hierarchical Clustering
DBSCAN
Gaussian Mixture Model
Correct Answer: DBSCAN
Solution:
DBSCAN (Density-Based Spatial Clustering of Applications with Noise) identifies clusters based on the density of data points.
Which clustering algorithm is based on density?
Practice Questions
Q1
Which clustering algorithm is based on density?
K-Means
Hierarchical Clustering
DBSCAN
Gaussian Mixture Model
Questions & Step-by-Step Solutions
Which clustering algorithm is based on density?
Step 1: Understand what clustering means. Clustering is a way to group similar data points together.
Step 2: Learn about different types of clustering algorithms. Some algorithms group data based on distance, while others use density.
Step 3: Identify the density-based clustering algorithm. The algorithm that focuses on the density of data points is called DBSCAN.
Step 4: Know what DBSCAN stands for. It stands for Density-Based Spatial Clustering of Applications with Noise.
Step 5: Understand how DBSCAN works. It finds clusters by looking for areas where data points are close together (high density) and separates them from areas with fewer points (low density).
No concepts available.
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