FTB-C000620 / Implementation concept

Minimum Touches

Minimum Touches is the minimum neighborhood count required for a pivot to be a DBSCAN core point.

Also known asmin_touchesmin_samples

Definitions

In plain terms

The point itself counts toward the minimum under this contract.

Technical

min_touches is an integer at least 2 and is evaluated on the inclusive same-kind neighborhood.

Scope

Changing whether self counts changes core labels and cluster topology.

Examples

  • A reviewer computes Minimum Touches on a small deterministic fixture and checks timing, units, and boundary behavior before publication.

Common misconceptions

  • Changing whether self counts changes core labels and cluster topology.

Concept relationships

Where this concept is used

Tutorials planned

These catalogued topics use this concept, but their complete build has not shipped yet.

  • D08-F01-A03 Important

Evidence and governance

  1. sklearn.cluster.DBSCAN scikit-learn · first party technical publication

    Supports: preferred label, short definition, technical definition, variant distinction

    Limits: The package implements deterministic one-dimensional DBSCAN directly for Python/TypeScript parity.

  2. Pine Script pivot techniques TradingView · official platform documentation

    Supports: preferred label, short definition, technical definition, variant distinction

    Limits: The package freezes its own equality, separation, and OHLC policies rather than claiming one universal pivot definition.

  3. numpy.log NumPy · first party technical publication

    Supports: preferred label, short definition, technical definition, variant distinction

    Limits: A log transform requires positive finite prices and does not by itself define a financial level.

Reviewed by
fintech-builder-batch-011
Last reviewed
2026-08-09
Next review
2027-08-09
Record status
evidence reviewed

This record is evidence-reviewed and readable, but not yet promoted to published — it is served noindex,follow and excluded from the sitemap.

Written by

Fintech engineer building market-data and financial systems, and the author of every article, glossary record, and reference implementation on The Fintech Builder.