Question: Which clustering technique can automatically determine the number of clusters?
Options:
K-Means
Agglomerative Clustering
DBSCAN
Mean Shift
Correct Answer: DBSCAN
Solution:
DBSCAN can automatically determine the number of clusters based on the density of data points.
Which clustering technique can automatically determine the number of clusters?
Practice Questions
Q1
Which clustering technique can automatically determine the number of clusters?
K-Means
Agglomerative Clustering
DBSCAN
Mean Shift
Questions & Step-by-Step Solutions
Which clustering technique can automatically determine the number of clusters?
Step 1: Understand what clustering means. Clustering is a way to group similar data points together.
Step 2: Learn about different clustering techniques. There are many methods, but some require you to specify the number of clusters beforehand.
Step 3: Identify DBSCAN as a clustering technique. DBSCAN stands for Density-Based Spatial Clustering of Applications with Noise.
Step 4: Know how DBSCAN works. It groups data points that are close together based on their density.
Step 5: Realize that DBSCAN does not need you to tell it how many clusters to find. It can figure that out by looking at how many dense areas of points there are.
Step 6: Conclude that DBSCAN is a good choice if you want a clustering method that automatically determines the number of clusters.
No concepts available.
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