**Determine the best 'k' for k-means clustering algorithm by the gap statistic**

- Use the sample data or upload your data from CSV files.
- Draw the plot of the gap statistic.The intersection of the blue dotted line and horizontal axis (X-axis) indicates the best 'k'.
- Display the input data and calculate the gap statistic.

**Partition your data into k classes with k-means clustering.**

- Use the sample data or upload your data from CSV files.
- Choose a visualization method to draw the plot of the K-means clustering. Dots of the same color indicate that they belong to the same class.
- Display the input data and visualize the results.

**Partition your data with hierarchical clustering.**

- Use the sample data or upload your data from CSV files.
- Choose a visualization method to draw the plot of the K-means clustering.The sample in the dotted boxes belong to the same cluster.
- Display the input data and visualize the results.