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#clustering — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #clustering, aggregated by home.social.

  1. 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.
  2. 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.
  3. 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.
  4. 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.
  5. 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.
  6. When You Need Clustering or SVM Developers for ML Projects

    Not sure when your ML project requires expert help? Clustering specialists and SVM developers can make a huge difference when working with complex datasets, uncovering hidden patterns, or building high-accuracy predictive models.

    📌 Read the full article on the Amplework blog: amplework.com/blog/when-you-ne

    #MachineLearning #Clustering #SVM #DataScienceExperts #MLProjects #AIEngineering #PredictiveModels #ScalableML #AIDevelopment

  7. Behind the scenes of “beautiful scientific graphics”

    If you think that clean, elegant visuals in scientific reports are produced in a couple of clicks — I’m here to disappoint you. 🙂

    Here’s one of many failed attempts to visualize results based on thermodynamic modeling of geochemical processes.

    Turning raw multidimensional data into something that a human reader can intuitively grasp is a separate challenge — with dozens of input parameters and only a few truly useful outcomes.

    Good science is not only about computation, but also about communication.

    #Geochemistry #DataViz #Rstats #Clustering #EnvironmentalModelling #ScienceCommunication #PHREEQC #WaterPollution #SvystunovaGully #Contamimation #Groundwater #Infographics #PCA #Thermodynamics

  8. 🧠 New preprint by Chintaluri et al. (2025): An ion channel #omnimodel for standardized #biophysical #neuron #modelling. A unified #HodgkinHuxley formalism applied to >3,500 ion channel models from #ModelDB. Enables cross-model comparison, #clustering, and reproducible simulation through a shared parametrization:

    🌍 doi.org/10.1101/2025.10.03.680

    #CompNeuro #Neuroscience #Reproducibility

  9. Don't pass by the new insightful lecture from Dr. Alejandro Rodriguez Garcia, Abdus Salam International Centre for Theoretical Physics (ICTP)!

    In this one, Alex provides a comprehensive overview of various clustering methods, including flat, fuzzy, and hierarchical approaches. His lecture not only discusses the mathematical foundations of techniques like k-means and k-medoids but also highlights their practical applications across fields such as image recognition and data classification.

    This lecture is an excellent opportunity to deepen your understanding of unsupervised learning and engage critically with advanced clustering methods.

    Join Enabla to watch the lecture and interact with Dr. Rodriguez Garcia for free! Ask questions and spark discussions with both him and the rest of the Enabla community: enabla.com/pub/1109/about

    #UnsupervisedLearning #MachineLearning #DataScience #Clustering #OpenAccess

  10. 'Robust Spectral Clustering with Rank Statistics', by Joshua Cape, Xianshi Yu, Jonquil Z. Liao.

    jmlr.org/papers/v25/23-0552.ht

    #clustering #spectral #cluster

  11. Как анализировать тысячи отзывов с ChatGPT? Частые ошибки и пример на реальных данных

    В этой статье я расскажу про свой опыт решения рабочей задачи — анализ отзывов о компании от пользователей. Мы разберем возможные ошибки и посмотрим на пример кода и реальных данных. Гайд будет полезен всем, у кого нет большого опыта в анализе данных или работе с LLM через API.

    habr.com/ru/articles/821287/

    #llm #gpt #chatgpt #python #clustering #kmeans #tsne #visualization #summarization #data_analysis

  12. 'Large data limit of the MBO scheme for data clustering: convergence of the dynamics', by Tim Laux, Jona Lelmi.

    jmlr.org/papers/v24/22-1089.ht

    #viscosity #clustering #curvature

  13. Bayesian Gaussian Mixture Models are a great way to improve the clustering performance of real world datasets.

    Find out why and where you might want to use them, and how to implement them efficiently.:

    towardsdatascience.com/how-to-