Definitions
In plain terms
Bins assign by bucket edges; DBSCAN assigns by neighborhoods and connected density.
Technical
The selected method does not round prices into bins; it uses log-distance, epsilon, min_touches, and explicit noise.
Scope
Swapping methods changes level membership and must be represented as a variant, not a formatting choice.
Examples
- A reviewer computes Price-Bin versus Density Clustering on a small deterministic fixture and checks timing, units, and boundary behavior before publication.
Common misconceptions
- Swapping methods changes level membership and must be represented as a variant, not a formatting choice.
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
- 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.
- 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.
- 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.
