StackedML
Practice
Labs
Questions
Models
Pricing
Sign in
Questions
/
Unsupervised Learning
/
Clustering
/
K-means
← Previous
Next →
263.
Elbow Method for Choosing K
medium
The elbow method is used to choose K in K-means. What does it plot and what is the heuristic?
A
Silhouette score vs K — the optimal K maximizes average silhouette width across all samples
B
Between-cluster variance vs K — the optimal K is where between-cluster variance stops increasing significantly
C
Cluster purity vs K — the optimal K minimizes the proportion of mixed-class samples in each cluster
D
WCSS vs K — the optimal K is at the elbow where adding more clusters yields diminishing WCSS reduction
Sign in to verify your answer
← Back to Questions