Top Tweets for #CLUSTERING
یک اپ سبک با #Streamlit نوشتم که #AutoML انجام میده
• مخصوص کسانی که کتابخونههای AutoML براشون کار نمیکنه
• استفادهش خیلی ساده :
۱- دیتا رو آپلود کن
۲- مسئله رو مشخص کن (#Regression, #Classification, #Clustering)
۳- هدف رو انتخاب کن
https://t.co/Uk5ov2bdFb
Un mismo análisis puede contarse de varias formas.
La interpretación depende de la visualización.
#rstats #DataScience #Clustering #DataViz #MachineLearning #Analytics #stats #cienciadedatos #estadistica #analisisdedatos
The Art of Clustering: The Good, The Bad and The Beautiful by Seth Levine https://t.co/XFN46uuOdt
Why LLMs are not your one stop shop for figuring out what’s in the data #datascience #clustering
@tfcril supports #research-led engagement, provides #innovation, supports practical #clustering activities, #knowledge-transfer and #communications.
https://t.co/PE0TDzFJ3F
Linkedin:
https://t.co/IommnTaGhN
Instagram:
https://t.co/i5ZdfuwfP8
Bluesky:
https://t.co/hGly5wlEGS
🖼️🖼️ #Band Selection #Algorithm Based on Multi-Feature and Affinity Propagation #Clustering
✍️ Junbin Zhuang et al.
🔗 https://t.co/k9A12eGCrZ
Hi #DataScience #MachineLearning #AI practicioners! #Clustering widely used by millions, neglected by the engineering community.
We refresh the scene with a modern tool: out-of-core (larger than RAM), numpy, memmap, parquet, SIMD, AVX2, AVX512, native Apple Neon optimization, dynamic dispatch, many modern algorithms & optimizations, with a trivial `auto` mode that picks the best one for you. Just `pip install clostera` and check the github repo. No GPUs needed, blazingly fast both on a 2012 laptop and on a modern 256-cpu server. And on your #Apple machine too. Enjoy! ♥️
Made in Poland 🇵🇱 with #Python and #Rust fully #OpenSource with MIT License.
BOOM!
🇵🇱 @Synerise is open-sourcing another piece of our infrastructure.
Billion scale vector clustering. One Machine. Zero GPUs.
AI is entering its optimization era.
Clostera - a k-means clustering library written in Rust, designed for 100M–1B vector workloads on a single CPU machine.
What's inside:
- Rust core + thin Python layer (NumPy / parquet / memmap)
- Runtime dispatch across AVX2 / AVX-512 / NEON (Apple Silicon)
- Paths: dense exact, OPQ/PQ, PQ4 FastScan, RaBitQ hybrids
- Static, auditable auto selector - not a black box
- Out-of-core support via memmap and parquet
Vs FAISS on the same 64-core budget:
- 13.4× median speedup in cells where both libraries completed
- 115/115 results within 2.5% of the best FAISS quality score
- Full result files and schedules committed to the repo - everything is reproducible
The broader signal matters more than the library itself. AI is entering a phase where advantage no longer comes from a bigger model, but from compute efficiency - algorithms meeting hardware. Clustering a billion embeddings on CPU is exactly that layer.
Another year, another open-source release from Poland. This is a direction Synerise intends to keep playing in.
Made in Poland with love❤
MIT.
https://t.co/xhny4VqltP
#ai #synerise #bigdata
Using Failover Clustering Cloud Witness with Managed Identity in Windows Server 2025 🚀
https://t.co/2DjvunHHyZ
#WindowsServer #Winserv #Clustering #Azure #Cloud #MVPBuzz #AzOps #SecOps #ITPro #DevOps
🚀 K-Means Clustering Visualized
Watch how random centroids evolve into meaningful clusters step-by-step
A simple yet powerful algorithm behind modern AI & data science
Learn • Visualize • Understand
#KMeans #MachineLearning #DataScience #AI #Clustering #UnsupervisedLearning #Maths #Mathematics #DataVisualization #Algorithm #DeepLearning #Analytics #Tech #Coding #Python #AICommunity #LearnAI #STEM #BigData #ArtificialIntelligence #ML #Science #Engineering #DataAnalytics #Visualization #TechEducation
Day 2: Built the clustering engine for my Spotify recommender 🎧
Used K-Means + Elbow Method to find optimal clusters (~6) and started grouping songs by their audio “DNA”.
From raw features → real moods 🚀
#MachineLearning #DataScience #KMeans #Clustering #Python #MusicTech
'Unsupervised Feature Selection via Nonnegative Orthogonal Constrained Regularized Minimization', by Yan Li, Defeng Sun, Liping Zhang.
https://t.co/63U8Ww762t
#minimization #clustering #regularized
#highlycited paper
📚AI-Based #DecisionSupportSystem Optimizing #WirelessSensorNetworks for Consumer Electronics in E-Commerce
🔗https://t.co/3aeIVEyztT
👨🔬by Mohammed Salem Basingab et al.
@kauedu_sa
#artificialintelligence #clustering
🚀 Aprende clustering aplicado a Data Science
👩🏫 Imparte: Fernanda Jurado
📅 18 y 19 de marzo
💻 Modalidad 100% virtual
Cupos limitados. Reserva tu lugar y aprende Data Science aplicado.
🔗 https://t.co/M1lgPssnyc
#DataScience #MachineLearning #Clustering #Estadistica #RStats
Otros gráficos clave para clustering son:
- El gráfico de silueta para validación de la agrupación.
- gráficos de tendencia de agrupamiento
- gráficos de importancia de variables.
Adjunto ejemplos de mis cursos.
#clustering #ML #stats #rstats #datascience #cienciadedatos
🔍 ¿Cómo visualizar los resultados de un análisis de clúster con R?
El análisis de clúster no acaba con el algoritmo. Visualizar es clave para interpretar, validar y comunicar resultados. Pero no hay una única forma de contar la historia de tus datos.
#rstats #dataviz #clustering
Robust Clustering using Gaussian Mixtures in the Presence of Cellwise Outliers
Pushpendra Rajpurohit, Petre Stoica, Prabhu babu.
Action editor: Cedric Archambeau.
https://t.co/PzN78bBFet
#outliers #clustering #outlier
Consistent Spectral Clustering under Hyperbolic Geometry
https://t.co/BgXvcijAA7
#clustering #spectral #similarity
🗣️ NEW #DebatesPaper in #UrbanStudies
✍️ @mfsaps addresses #religion as a structural factor shaping socio-economic #urbanchange by examining the spatial #clustering of Ultra-Orthodox (Haredi) #Jews in London and New York.
📖 https://t.co/D3eYTaH8Pa
#Day10ofGenAI⚡
Implemented K-Means clustering from scratch!
Really enjoyed learning how the K-Means algorithm actually works behind the scenes!
Code : (https://t.co/ithvq6oCdE)
Thanks a lot!! To @rohit_negi9
& @VishalRB859187
✨🙌
#AI #JavaScript #Clustering #WebDev
Did a clustering project today
My first Data Project for 2026
here’s my observation Having more customers doesn’t always mean higher impact.
Customer behavior matters more than volume.
#DataScience #Clustering #Analytics
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