Clustering
Understand patterns in your data by automatically grouping it using a k-means algorithm.
Misc
By Incorta
Description
Discover insights faster by automatically grouping your data into clusters, or dots on a scatter plot chart, based on the variables you select.
Machine learning automates the analysis of up to 10,000 rows of data using k-means clustering. Simply hover over each cluster to see more information about it.
Answer questions like:
- What types of customers have similar purchasing habits? (customer segmentation)
- Which suppliers are performing well?
- Which suppliers present a risk?
How to use:
- Set the number of clusters in Settings. The default is two.
- Select a horizontal column for the x-axis.
- Select a vertical column for the y-axis.
Optional fields: Tooltip - Numeric columns that serve two purposes:
- Provide additional information, in context, when hovering
- Additional features used in the K-mean algorithm to calculate the clusters required
Note: You can adjust the aggregation method in settings.
Version
0.0.2
Latest Version Date
01/14/2024