#Clustering

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#Clustering Reel by @rajistics - Some alternatives to clustering with k-means. This skit was inspired by the examples in Schubert paper on stop using the elbow criterion for kmeans. A
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@rajistics
Some alternatives to clustering with k-means. This skit was inspired by the examples in Schubert paper on stop using the elbow criterion for kmeans. Any other clustering fails out there? Covering: Normalization, Guassian mixture models, DBSCAN, HDBSCAN, #datascience #statistics #machinelearning #kmeans #clustering #rajistics Stop using the elbow criterion for k-means and how to choose the number of clusters instead: https://arxiv.org/abs/2212.12189 This is repost from last year
#Clustering Reel by @aibutsimple - One of the most common ML interview questions is how to implement k-means clustering from scratch. What is k-means? Simply put, it's an unsupervised
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@aibutsimple
One of the most common ML interview questions is how to implement k-means clustering from scratch. What is k-means? Simply put, it’s an unsupervised clustering algorithm that groups data into k clusters, where k is a hyperparameter we select. The algorithm has the following steps: Initialize k centroids, Assign each data point to the nearest centroid, Update centroids to the mean of the assigned points, Repeat until convergence. Want to Learn Machine Learning? Join 7000+ Others in our Weekly AI Newsletter—educational, easy to understand, math included, and completely free (link in bio 🔗). Join our AI community for more posts like this @aibutsimple 🤖
#Clustering Reel by @techwithprateek - Most of my early data science learning didn't come from courses. It came from building small projects and noticing what actually changes model behavio
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@techwithprateek
Most of my early data science learning didn’t come from courses. It came from building small projects and noticing what actually changes model behavior. 🎬 Netflix Show Clustering This was my first unsupervised learning project. Most of the effort went into cleaning the dataset and encoding features like genre and ratings. Also learned that clustering algorithms break easily if features aren’t scaled properly 🧠 Diabetes Prediction with Model Comparison This was one of the first projects where I compared multiple models on the same dataset. The interesting part wasn’t the model, it was the preprocessing. Also realized accuracy doesn’t say much unless you look at the confusion matrix and other metrics. 🎧 Spotify Song Popularity Predictor This project was my first time working with API data instead of a static dataset. Collecting and preparing the data took more effort than training the model. Explaining predictions with SHAP made the model easier to understand. 📉 Customer Churn Predictor This one felt closest to a real business problem. The biggest realization was that accuracy can be misleading when churn cases are rare. You start thinking more about recall, precision, and the cost of missing a churn prediction. Turning the model into a small interactive app made the project feel much more practical. These kinds of projects teach you more than just running models. They change how you think about data. 💾 Save this if you’re looking for beginner data science project ideas. 💬 Comment **PROJECTS** if you want project links with full explanation. 🔁 Follow for more practical AI & data learning notes.
#Clustering Reel by @justwatchog - Follow @justwatchog for more crazy nature facts you've never seen before! What looks like a patch of fur is actually THOUSANDS of Daddy Longlegs (har
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@justwatchog
Follow @justwatchog for more crazy nature facts you’ve never seen before! What looks like a patch of fur is actually THOUSANDS of Daddy Longlegs (harvestmen) clustering together. They gather like this to trap moisture and keep their bodies from drying out, and when disturbed they can even move together to confuse predators. Nature’s survival strategies can be seriously strange! #nature #wildlife #spiders #arachnids
#Clustering Reel by @soul_in_code (verified account) - This BigQuery query didn't just scan data… it scanned my budget." No partition ❌ No clustering ❌ Runtime datetime casting ❌ Invoice: Yes 💸 #programm
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@soul_in_code
This BigQuery query didn’t just scan data… it scanned my budget.” No partition ❌ No clustering ❌ Runtime datetime casting ❌ Invoice: Yes 💸 #programming #softwareengineer #software #remoteworklife
#Clustering Reel by @dailyoverview (verified account) - Satellite radar imagery reveals a sudden shift in maritime activity at the Strait of Hormuz, one of the busiest shipping corridors on Earth. Under no
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@dailyoverview
Satellite radar imagery reveals a sudden shift in maritime activity at the Strait of Hormuz, one of the busiest shipping corridors on Earth. Under normal conditions, ships form a dense corridor moving through the narrow passage. But the latest Sentinel-1 acquisitions from March 9–10 show vessels clustering on either side of the strait while the usual transit lane sits largely empty. The disruption follows Iran’s move to effectively close the waterway amid the expanding regional conflict, with reports raising concerns that naval mines may have been deployed. In a passage that typically carries around 20% of the world’s oil, even a brief pause in movement can have global consequences. Overview images created by @dailyoverview Source imagery: Sentinel-1 / Copernicus / Processed by DHI
#Clustering Reel by @bakwaso_pedia - K-Means vs KNN - don't confuse them. K-Means = clustering KNN = classification K-Means groups similar data points together. Example: Customers → g
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@bakwaso_pedia
K-Means vs KNN — don’t confuse them. K-Means = clustering KNN = classification K-Means groups similar data points together. Example: Customers → grouped into segments based on behavior No labels. Just patterns. KNN, on the other hand, uses labeled data and looks at nearest neighbors to decide. Same idea of distance. Different purpose. SAVE this if you're learning ML. #machinelearning #kmeans #knn #clustering #mlalgorithms #datascience #techreels #typographyinspired #typographydesign
#Clustering Reel by @simplydisturbing - The mosquitoes do not hesitate. Even with a barrier between them and your skin, they gather in the exact spot your hand hovers, clustering beneath it
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@simplydisturbing
The mosquitoes do not hesitate. Even with a barrier between them and your skin, they gather in the exact spot your hand hovers, clustering beneath it as if they can see through the net. They cannot. They are following what your body is releasing into the air right now. Your breath, your heat, your scent. Signals you were never meant to notice, but they were designed to find. Long before one lands on you, it already knows where you are. It has been tracking you through invisible trails your body cannot turn off, closing in step by step. The bite is not the beginning. It is the end of a pursuit you never realized was happening. 🎥: @bio.cass.ification 🔮 Follow the disturbing side of truth.
#Clustering Reel by @gigabyte_official (verified account) - What if your AI hits a wall? Time to go Clustering! GIGABYTE's GIGAPOD is a turnkey, rack-scale GPU cluster-multiple racks acting as one system to acc
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@gigabyte_official
What if your AI hits a wall? Time to go Clustering! GIGABYTE’s GIGAPOD is a turnkey, rack-scale GPU cluster—multiple racks acting as one system to accelerate everything AI. GPM (GIGABYTE POD Manager) provides real-time monitoring, DCIM, orchestration, and workload automation for PODs/clusters. Need higher density and power savings? Add direct liquid cooling (DLC) to efficiently remove heat from CPUs/GPUs and stabilize performance. #AICluster #GIGAPOD #GPM #LiquidCooling #DLC #DataCenter #LLM #HPC #GIGABYTE
#Clustering Reel by @jorgecallaos (verified account) - Had you heard of the Clustering Illusion before? If you're new, follow for daily wisdom, tactics, and inspiration 🚀 If you're an OG, hit the "Follo
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@jorgecallaos
Had you heard of the Clustering Illusion before? If you're new, follow for daily wisdom, tactics, and inspiration 🚀 If you're an OG, hit the "Following" button in my profile and click "Add to favorites ⭐" to make sure all my new content shows up in your feed 📸 #ClusteringIllusion #CognitiveBias #PatternSeeking #ThinkCritically #MentalModels #PersonalGrowthJourney #SelfImprovementDaily #GrowthMindset #MindsetShift #PsychologyFacts
#Clustering Reel by @nature.portfolio (verified account) - Forming patterns inside cells 🦠 In biology, patterns are created when different parts of a system move together as one. Zebra stripes and leopard sp
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@nature.portfolio
Forming patterns inside cells 🦠 In biology, patterns are created when different parts of a system move together as one. Zebra stripes and leopard spots are good examples - they are created when lots of cells group together into either dark or light areas. But this clustering also occurs within cells. Inside of proteins, patterns have been found which control some of the most important processes to create life - cell division, movement, and polarity (the organisation of components within cells). Researchers investigated the patterns formed by proteins from the bacteria Escherichia coli (E. coli). At the inner membrane of the bacterial cell, two proteins (MinD and MinE) continually bind and unbind. By coating a glass slide in an artificial lipid membrane, mimicking the membrane inside of the bacterial cell, the team were able to view the process of these two proteins binding and unbinding in real time. The patterns allow scientists to better understand processes occurring within cells and future work will try to determine the molecular mechanisms that drive these Min-protein patterns. This research was published in Nature Communications. Sabrina Meindlhumer @tudelft explains more in the Physics Community (link in bio). This video shows the patterns created when the two proteins interact inside E. coli. The MinD protein is shown in pink and MinE protein in green. Credit: Sabrina Meindlhumer. #Protein #Bacteria #Cell #Physics #ScientificResearch
#Clustering Reel by @blackforesttlabs (verified account) - Classification vs Clustering - what's the difference? Both group data, but they work in completely opposite ways. Classification (Supervised): - Ne
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@blackforesttlabs
Classification vs Clustering — what's the difference? Both group data, but they work in completely opposite ways. Classification (Supervised): - Needs labeled data - Predicts known categories - Example: Spam detection, tumor diagnosis - Netflix: "Is this a thriller or comedy?" Clustering (Unsupervised): - No labels needed - Discovers hidden patterns - Example: Customer segmentation, topic discovery - Spotify: "Group similar listeners together" . . . #machinelearning #classification #clustering #supervisedlearning #unsupervisedlearning #datascience #kmeans #randomforest #interviewprep #ai #svm #dbscan #netflix #spotify [classification vs clustering, supervised vs unsupervised learning, K-means clustering, DBSCAN, logistic regression, SVM, random forest, machine learning interview, data science interview, customer segmentation, spam detection, recommendation systems]

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