Variable Descriptions for a K-Means Segmentation Machine Learning Model

A 13.5 KB Excel file provides the description of variables used in a K-Means segmentation model. Authored by María Teresa Ballestar, the dataset is licensed under CC-BY-4.0 and was last updated on May 28, 2026. The specific data the model was trained on is not included.

Use Cases

• Reproducing a K-Means segmentation model based on the described feature set.
• Understanding the feature engineering and variable selection for a clustering task.
• Comparing segmentation methodologies by analyzing the variables used in this model.
• Educational purposes for teaching K-Means clustering and feature documentation.

Strengths

• Documentation is openly licensed under CC-BY-4.0, allowing for broad reuse.
• The file is small (13.5 KB), ensuring quick download and inspection.
• Provides a specific timestamp for its last update (2026-05-28).

Limitations

• The dataset is tiny (13.5 KB) and contains only documentation, not the actual training data.
• Row count and column-level details for the original model data are unknown.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

María Teresa Ballestar via figshare

Freshness

Last updated 2026-05-28 17:43:06; freshness should be verified.