#kmeans
Live, measured metrics for the hashtag #kmeans from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #kmeans
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Day-by-day usage
measured · mas.to (Mastodon public tags API) · fetched 2026-07-28 18:29 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.online (Mastodon public search API) · fetched 2026-07-28 18:29 UTCNo related tags with measured usage found for #kmeans.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-07-28 18:29 UTCEverything below is measured over the latest 34 public posts (spanning ~52290 hours).
Posting hours (UTC) — busiest: 09:00
Languages: English (29) · Russian (5)
Avg boosts / post: 0.2
Top of the latest posts
Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data. The basic ra
#arxivfeed : "Asymptotics for The k-means" https://arxiv.org/abs/2211.10015 #MachineLearning #UnsupervisedLearning #kMeans #Clustering
От текста к смыслу: Embeddings, GPT и многомерные векторы в конкурентном анализе мобильных приложений Отзывы пользователей — один из самых ценных источников информации о продукте, при этом часто клиенты описывают одну и ту же тему или пробл
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/kmeans