Clustering Panels
Clustering specifically designed for multivariate panel clustering of financial and time-series data
Tutorials
are the best documentation — Clustering Panels Tutorial
Introduction
Can be used to cluster any panel dataset. It is particularly useful for financial analysts, data scientists, and researchers working with time-series data across multiple entities (e.g., stocks, companies) and variables.
Initialization
The CustomDataFrame can be initialized using the sov.data()
function:
Basic Clustering
Perform clustering on all features:
Feature-Specific Clustering
Cluster based on specific features:
Summary Clustering
Get a quick summary of the last 6-months data:
Visualization Methods
Line Plot
Visualize cluster centroids and distances:
Scatter Plot
Create a scatter plot of clustered data:
Animation Plot
Generate an animated plot of cluster evolution:
Advanced Analysis
Distance Calculation
Calculate distances between ticker-cluster combinations:
Examples
Basic Clustering and Visualization
Feature-Specific Clustering and Distance Analysis
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