Which of the following methods can be used to determine the optimal number of cl
Practice Questions
Q1
Which of the following methods can be used to determine the optimal number of clusters in K-means?
Elbow method
Silhouette analysis
Gap statistic
All of the above
Questions & Step-by-Step Solutions
Which of the following methods can be used to determine the optimal number of clusters in K-means?
Step 1: Understand that K-means is a clustering method that groups data into clusters.
Step 2: Know that choosing the right number of clusters is important for good results.
Step 3: Learn about the Elbow method, which involves plotting the sum of squared distances for different numbers of clusters and looking for a 'bend' or 'elbow' in the graph.
Step 4: Understand Silhouette analysis, which measures how similar an object is to its own cluster compared to other clusters. A higher silhouette score indicates a better-defined cluster.
Step 5: Familiarize yourself with the Gap statistic, which compares the total within-cluster variation for different numbers of clusters with their expected values under a null reference distribution.
Step 6: Realize that all these methods (Elbow method, Silhouette analysis, and Gap statistic) can help you find the best number of clusters for your K-means analysis.
