fix: Correct continuous zoom clustering implementation #1587
Conversation
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Contributor
Code Coverage
|
dkhawk
approved these changes
Sep 5, 2025
googlemaps-bot
pushed a commit
that referenced
this pull request
Sep 5, 2025
## [3.16.2](v3.16.1...v3.16.2) (2025-09-05) ### Bug Fixes * Correct continuous zoom clustering implementation ([#1587](#1587)) ([1329850](1329850))
Contributor
|
🎉 This PR is included in version 3.16.2 🎉 The release is available on:
Your semantic-release bot 📦🚀 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
3 participants
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
The clustering logic for the ContinuousZoomEuclideanCentroidAlgorithm was previously misplaced in the
getClusteringItemsmethod. This resulted in the base class's clustering algorithm being used, which does not correctly apply the intended Euclidean distance check.This change refactors the implementation by moving the continuous zoom scaling and Euclidean distance logic into an
overridden
getClustersmethod, ensuring the correct clustering algorithm is executed. ThegetClusteringItemsmethod now reverts to its default behavior of returning all items to be considered for clustering.