Home › Spatial analysis › pqkmeans-clustering
pqkmeans-clustering QGIS 4 compatibility
Not QGIS 4 ready Quiet
Not yet — the latest version declares max QGIS version 3.99.0, so it is not offered to QGIS 4 users.
This clustering algorithm is a quantized version of the K-Means algorithm that is memory and computationaly more efficient.
About
The instractions for instalation of external dependencies can be found in the main page (README.md file) of the repository: https://github.com/arngolo/pqkmeans-qgis-plugin.
| Author | armstrong ngolo |
|---|---|
| Downloads | 1,564 |
| Latest version | 0.1 (experimental) |
| Last updated | 2024-02-14 (974 days ago) |
| Min QGIS | 3.0.0 |
| Max QGIS | 3.99.0 |
| QGIS 4 ready | No |
| Maintenance | Quiet |
| Category | Spatial analysis |
| Tags | remote sensing, pqkmeans, clustering, kmeans, raster, analysis |
Homepage · Repository · Issue tracker · Official page
Alternatives in Spatial analysis
- Group StatsQGIS 4 ready
Stats and analysis for vector layers data
- Data PlotlyQGIS 4 ready
D3 Plots for QGIS
- CrayfishQGIS 4 ready
Tools for mesh layers QGIS
Related plugins
- Cluster AnalysisNot QGIS 4 ready
Perform attribute based clustering on vector layers
- GeoClassifyQGIS 4 ready
Supervised and unsupervised raster land use and land cover classification with advanced spatial validation
Spatial point sampling over a polygon area with 7 methods: Systematic Hilbert (SH), Hilbert Groups (GH), Row-Column Groups (GFC), Simple Ran
- Attribute based clusteringQGIS 4 ready
Clustering for vector layers based on their numeric attributes
- ClusterPointsNot QGIS 4 ready
Cluster Points conducts clustering of points based on their mutual distance to each other or based on supplemental information from attribut
- Unsupervised ClassifierQGIS 4 ready
Plugin for unsupervised classification or clustering of satellite images. Part of MAS Raster Processing tools.
Maintenance: Active = updated within 1 year, Quiet = 1–3 years, Likely abandoned = over 3 years.