Mean Elbow

Brooklynn was exploring clustering algorithms for her latest project, as she wanted to find meaningful patterns in her dataset.

After trying out K-Means clustering, she was impressed by its simplicity and efficiency. However, she was unsure about her data's optimal number of clusters.

While researching online, Brooklynn encountered the term "elbow method" multiple times. Realizing its importance, she decided to delve deeper into the concept.

Which of the following statements is true about the elbow method?

In cluster analysis, the elbow method is used to determine the existing biases in a dataset.

In cluster analysis, the elbow method determines the optimal number of clusters.

In cluster analysis, the elbow method is used to determine the features that better explain the patterns in a dataset.

In cluster analysis, the elbow method is used to select the outliers in a dataset.