FTB-C000618 / Implementation concept

DBSCAN Noise Point

DBSCAN Noise Point is a confirmed pivot not assigned to any density-connected cluster.

Also known aslevel noise

Definitions

In plain terms

An isolated pivot remains visible as noise instead of being forced into a level.

Technical

Noise is explicit when no core point can reach the pivot under the selected epsilon and min_touches rules.

Scope

Noise is an output state, not missing data and not a failed calculation.

Examples

  • A reviewer computes DBSCAN Noise Point on a small deterministic fixture and checks timing, units, and boundary behavior before publication.

Common misconceptions

  • Noise is an output state, not missing data and not a failed calculation.

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

    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

    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

    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.