[general]
name = Attribute based clustering
qgisMinimumVersion = 3.32
qgisMaximumVersion = 4.99
description = Clustering for vector layers based on their numeric attributes
about = Plugin produces clustering for features of vector layer based on unlimited number of attributes using hierarchical or k-means algorithms. Hierarchical algorithm is available in two variations: native realization for known number of clusters and scipy realization for unknown number of clusters. K-means method requieres scipy and known number of clusters. You can define weight for every attribute, if native hierarchical clustering used. Elbow method for estimating optimal number of clusters is available. Also calculating of distances from each object to centroids of each cluster is available.
category = Vector
version = 3.1
author = Eduard Kazakov
email=ee.kazakov@gmail.com
changelog=
    3.1
        * qt6 support
	3.0
		* Implemented processing tools for all clustering methods
		* New output parametrization
		* Heavy refactoring and internal optimizations. Native hierarchical clustering is now 100x times faster
        * Updated documentation
    2.2.1
        * Broken manual link is deleted
    2.2
        * Now plugin is able to calculate distances to cluster's centroids for each object. Also Elbow Method is added to help figuring out an optimal number of clusters
    2.1
        * Added the K-Means2 method, along with links to the original documentation. Expanded support for SciPy algorithms with many additional options now available
    2.0
        * Updated for QGIS 3. Also new clustering method added - scipy hierarchical clustering for unknown number of clusters

tags = vector, clustering, attributes
homepage = https://ekazakov.me/attribute-based-clustering-qgis-plugin
tracker = https://github.com/eduard-kazakov/attributeBasedClustering/issues
repository = https://github.com/eduard-kazakov/attributeBasedClustering
icon = icon.png
experimental = False
deprecated = False
supportsQt6=True