I have been playing with the idea of rewriting an old web-app I made over the past 20 years. It's right now running on #LAMP and is targeted at #mobile devices, but I'd like to modernize it to use #PostgreSQL and a web #framework that's not old enough to be well into its first divorce.

I'm used to #Java + #Angular (and derivatives like #Ionic), but I'm thinking I want something new. What are people happy with (and have used for actual development beyond a Hello World tutorial)? I can Bing, so I'm more interested in real experiences. I'm not terribly interested in React or Vue, and have already given Swift/SwiftUI for iOS a spin, so I don't want that.

Should have a mobile-first #frontend, be decently mature so I don't have to rewrite in 2 years when support stops. I need a backend and Postgres access. Would like support for #PWA.

Can be Angular-based or stand-alone, can be separate backend and frontend or mixed/tag-soup/hydration-like. #Typescript or the like are fine, but not a requirement. Fuck #Erlang / #Elexir. If you're going to suggest #Go or #Rust better have a good argument because most people suggesting those are extremely annoying people. #Flutter / #Dart = yuck.

I'm using it to track goals/habits and make #charts, #statistics, and some basic machine learning (k-means, affinity propagation, GMM, and other #clustering, that sort of thing). I can program statistics and clustering myself, but a native chart library would be nice (heatmaps, line charts, bar charts/histograms, that sort of thing) and I wouldn't mind not having to implement my own probability distributions. User authentication (persistent between application restarts) is a must (by framework or popular libraries). I can do #Bootstrap, #tailwind, and other front-end #CSS, but I'd be perfectly happy not having to as long as I can make my widgets purple.

鸿蒙 (Hóngméng) apparently is described as a distributed microkernel. I had no idea when I tacked clustering bits in the spirit of Mach's early '90s efforts onto Telix' eventual design goals that there were live efforts toward such ends. That may be the direction to go once Telix gets up to speed on a single node, provided I'm in a position to keep working on it.

#telix #HongMeng #clustering #IoT

Tested on a really large photo collection, and the results are quite good. Like with KD-tree, there are some catch-all clusters, but most of the clusters are very precisely matching only one person. Over 90 % precision with epsilon 0.3 (vs. KD-tree's ~40 % on 100k's of photos when it starts applying the search limit).

A proper UX will need multi-clustering (multiple clusters fitting the same person), but I believe that the guys from the DigiKam team will ace it :)

#FaceRecognition #clustering

Why fish are clustering near an Ontario nuclear plant and what it signals about the Great Lakes
In the warm waters emanating from Ontario's largest nuclear plant, fish are gathering by the thousands. Ahead of an Earth Day livestream, CBC News got a rare look at what some call a 'fish city,' a striking scene scientists say may signal a changing Great Lakes ecosystem.
https://www.cbc.ca/news/science/fish-city-nuclear-plant-lake-huron-great-lakes-bruce-power-9.7164815?cmp=rss
Pin Clustering in .NET MAUI Maps - .NET Blog

.NET MAUI 11 adds pin clustering to the Map control, automatically grouping nearby pins into cluster markers. Learn how to enable clustering, create separate clustering groups, and handle cluster taps on Android and iOS.

.NET Blog

From the .NET blog...

In case you missed it earlier...

Pin Clustering in .NET MAUI Maps
https://devblogs.microsoft.com/dotnet/pin-clustering-in-dotnet-maui-maps/ #dotnet #NETMAUI #NET11 #clustering #controls #maps #mobile

Pin Clustering in .NET MAUI Maps - .NET Blog

.NET MAUI 11 adds pin clustering to the Map control, automatically grouping nearby pins into cluster markers. Learn how to enable clustering, create separate clustering groups, and handle cluster taps on Android and iOS.

.NET Blog

세이 Yoon, Shin-young (@shinyoungyoon)

2주간(2/28~3/13) 전일간지·경제지·방송사 기사에서 '이란' 키워드로 BigKinds에서 1만8750건을 수집해 제목·키워드 중심으로 확인했다. 텍스트 임베딩 후 유사도로 클러스터화해 상위 25개 클러스터 주제만 추려 대분류를 비교한 미디어 분석 사례(임베딩·클러스터링 활용).

https://x.com/shinyoungyoon/status/2032575291940548617

#textembedding #clustering #mediaanalysis #bigkinds

세이 Yoon, Shin-young (@shinyoungyoon) on X

2주간 전쟁 보도 잠깐 살펴봤다. 2월 28~3월 13일 전국 일간지, 경제지, 방송사 기사 중 ‘이란’ 키워드로 검색되는 1만 8750건을 빅카인즈에서 찾아 제목과 키워드 중심으로 봤다. 텍스트 임베딩한 뒤 유사도로 클러스터화했을 때, 상위 25개 클러스터의 주제만 추려 대분류를 비교해봤다.

X (formerly Twitter)
Spatiotemporal #clustering of highly pathogenic avian #influenza (HPAI) #H5N1 at the wild #waterfowl - #poultry interface: Vector-specific #spillover risks in the #US, 2022–2025, https://etidiohnew.blogspot.com/2026/03/spatiotemporal-clustering-of-highly.html
Spatiotemporal #clustering of highly pathogenic avian #influenza (HPAI) #H5N1 at the wild #waterfowl - #poultry interface: Vector-specific #spillover risks in the #US, 2022–2025