keywords:kdtree - npm search

d3-binarytree

One-dimensional recursive spatial subdivision.

vasturiano

published version 1.0.2, 2 years ago

Maintenance: 10%. Quality: 64%. Popularity: 9%.

simple-kd-tree

轻量化kd-tree搜索方法

yangjun9520

published version 1.0.3, 5 months ago

Maintenance: 33%. Quality: 51%. Popularity: 2%.

com.wallstop-studios.unity-helpers

Various Unity Helper Library

wallstop

published version 2.0.0-rc04, 15 days ago

Maintenance: 33%. Quality: 47%. Popularity: 2%.

@plotly/point-cluster

Fast nd point clustering.

archmoj

published version 4.0.0, 4 years ago

Maintenance: None. Quality: 62%. Popularity: 11%.

sklearn

Use Python's #1 machine learning library from Node.js

fisch0920

published version 1.0.0, 7 hours ago

Maintenance: 21%. Quality: 53%. Popularity: 2%.

point-cluster

Fast nd point clustering.

dy

published version 3.1.8, 5 years ago

Maintenance: None. Quality: 62%. Popularity: 4%.

static-kdtree

A kdtree data structure

mikolalysenko

published version 1.0.2, 7 years ago

Maintenance: None. Quality: 62%. Popularity: 4%.

kdb-tree-store

kdb tree implementation using a chunk store

noffle

published version 3.2.1, 7 years ago

Maintenance: 2%. Quality: 51%. Popularity: 2%.

ngt-tool

Unofficial tool for interacting with Yahoo Japan's NGT Neighborhood Graph and Tree for Indexing High-dimensional Data

stonkpunk

published version 0.0.583, 3 years ago

Maintenance: None. Quality: 49%. Popularity: 2%.

kdtree-wasm

This project is wasm wrapper for rust kdtree lib in order to use in Nodejs and browser environment.

arayn

published version 1.0.1, a year ago

Maintenance: 8%. Quality: 43%. Popularity: 0%.

look-alike

A simple-yet-powerful KD-tree library for NodeJS, with support for lightning-fast k-Nearest Neighbour queries. Supports normalization, weights, key and filter parameters

mck-

published version 1.0.1, 11 years ago

Maintenance: None. Quality: 52%. Popularity: 0%.

k-dimensional_tree

kdtree data structure

spagiari

published version 0.0.2, 4 years ago

Maintenance: None. Quality: 43%. Popularity: 0%.

A utility for computing the catchment area of given source and destination points. A source may correspond to a health facility while the destinations (catchment areas) are the settlements served by the facility