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A lightweight, pure-Dart implementation of the DBSCAN clustering algorithm with KD-Tree optimization.
Last release 1 years ago
19 Jul 2025
Too new to tell
only 2 release windows
Nearly every release is documented
notes for 7 of 7 stable releases
Nothing withdrawn
no release was ever pulled
1 years old
7 releases · first in 2025
One column per month.
DOCS : add proper attribution for Floyd-Rivest quickselect algo…
BREAKING FEAT : major performance overhaul with breaking SpatialPoint interface changes.
Note: This release has breaking changes.
REFACTOR : Improve code formatting and readability. ([ f2abfab ]…
FIX (pubspec): Downgrade meta dependency. ([ 7156f00 ]( https://g…
FIX (pubspec): Update SDK constraint. ([ 79463f0 ]( https://githu…
DOCS (readme): Add pub.dev badges. ([ 6715bba ]( https://github.c…
FEAT : Integrate Melos for version management
🚀 DBSCAN Dart Implementation - A high-performance, pure-Dart implementation of the DBSCAN clustering algorithm with spatial optimization.
✨ Key Features:
dependencies:
dbscan_dart: ^1.1.0import 'package:dbscan_dart/dbscan_dart.dart';
// Create sample points
final points = [
LatLngPoint(pointId: PointId(1), lat: 37.7749, lng: -122.4194),
LatLngPoint(pointId: PointId(2), lat: 37.7849, lng: -122.4094),
// ... more points
];
// Run DBSCAN clustering
final dbscan = DBScan(eps: 5, minPoints: 4);
final result = dbscan.run(points: points);
// Access results
print('Clusters: ${result.clusters}');
print('Labels: ${result.labels}');Full Changelog: https://github.com/helpisdev/dbscan_dart/blob/main/CHANGELOG.md
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