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

Advanced 1 linked topicEvidence-reviewed

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

Prerequisites

Related

Required by

Where this concept is used

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.