RAI PCA Clustering

Clustering is a common technique to identify patterns in your data; however, most people forget to normalize their columns prior to clustering. This Spotfire template demonstrates how to run PCA to normalize the data and then perform hierarchical clustering.

This template requires the RAI Scatterplot Matrix.

Features

• Apply Principal Component Analysis to normalize variables.
• Cluster principle components and render using native Spotfire visualizations.

A template is an analysis file created in TIBCO Spotfire. The intended use is to replace the data and utilize the configured visualizations and calculations.

1. Download the template to your personal machine. Login into your own Spotfire server and open the downloaded file.
2. Review the tables shown on the data load page. These are the tables you'll replace.
3. Replace the data with another Excel sheet or connect the template directly to your database or platform.
4. Customize with your own data. You are free to embed and incorporate your template into other projects.
5. All done!