Merge abscissa values if the ordinate value is in a list of centroids

Centroids of world countries in CSV, GeoJson, etc

Clusters an array of vectors into k clusters using k-means (using random initial centroids and Euclidean as the distance function).

Python 3.12.10 run environment for the Sequence Clustering block (polars-lts-cpu + polars-ds + kalign-python for MSA consensus centroids)

World wide topojsons with properties,centroids,labels.

Streaming GeoJSON geometry converter. Get centroids from any geometry.

Merge abscissa values if the ordinate value is in a list of centroids

postal code centroids

Puts semantic centroids of indicies into elastic search to let us answer questions and know it's a ai assistant or a search

This code defines a kmeans function that takes a dataset (X), the number of clusters (k), and the maximum number of iterations as input. It initializes centroids randomly, assigns data points to the nearest centroid, and updates the centroids based on the

TypeScript definitions for skmeans

Regular block-model grid utilities: geometry (index/flat conversion, centroids, rotation), selections (masks, boolean ops), compacting, operations (map, reduce, histogram, grade-tonnage), spatial queries (slices, shells, regridding).

Find optimal viewport frames for georeferenced map previews

DiskANN/Vamana — SSD-friendly billion-scale approximate nearest neighbor search with product quantization

Get and apply affine transform to 2D points.

k-means with k-means++-initialization

Vector similarity search directly over Parquet files

Drag feature functionality for Leaflet.draw

k-means & k-medians with customizable distance functions and centroid initializations for n-D vectors

The GeoDa spatial analysis tools for OpenAssistant