#kdtree
Live, measured metrics for the hashtag #kdtree from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #kdtree
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-10-10 04:32 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-10-10 04:32 UTCNo related tags with measured usage found for #kdtree.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-10-10 04:32 UTCEverything below is measured over the latest 5 public posts (spanning ~12982 hours).
Posting hours (UTC)
Languages: English (4) · Swedish (1)
Avg boosts / post: 1.6
Top of the latest posts
I wrote a #kdtree implementation for #javascript today, in case you need fast querying of k nearest neighbors or nearest neighbors in ball of radius R check out https://github.com/benmaier/kd-tree-js
#kdtree and ball trees seem cool, but require full knowledge of the thing I'm searching for. What if it's 7 dimensional and I only know 4 of the values? I feel like a "parallel kd tree" with a separate binary index on each dimension would w
By using a #KDTree the calculation time goes down from 5.75 to 1.0 seconds #CreativeCoding
What “kdtree” means
WikipediaIn computer science, a k-d tree is a space-partitioning data structure for organizing points in a k-dimensional space. K-dimensional is that which concerns exactly k orthogonal axes or a space of any number of dimensions. k-d trees are a useful data structure for several applications, such as:Searches involving a multidimensional search key & Creating point clouds.
“K-d tree” on Wikipedia (CC BY-SA) →#kdtree across platforms
every network with a public tag surfaceFollow #kdtree straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/kdtree