#Clustering

Comment KNIME to get a link to try out this free tool! For the last 40 days I have been tracking how many hours I sleep, work, scroll, and am social. I used sleeping tracker for sleep data, work time sheets for clients, screen time for scrolling and estimating the time out. And using k-means clustering, it grouped hours vs sleep and work into 3 distinct groups. Although the data doesn’t directly label a category, you can look at each cluster and further infer what’s going on. For example, from my result it is very clear that even though sometimes I don’t believe it, when my sleep suffers, my work hours definitely does too. It’s a common pattern in the data. Using this tool, you can take a look at all different kinds of data. Personal data, sales data, gaming stats and find patterns you didn’t know exist. #datascience #clustering #learntocode #KNIME #KNIMECollab

👉🏻 KMeans VS GMM #datascience #kmeans #gmm #gaussianmixturemodels #models #mixturemodels #clustering #informazione #informatica #divulgazione

The only glow up you need #meme #meme #computerscience #computersciencememes #meme2025 #ai #machinelearning #cse #regression #clustering #decisiontree #neuralnetworks #artificialintelligence #cnn #rnn #transformers #gpt

K Means Clustering : ML Series . . . . . #ml #ai #genai #tech #clustering

Tipos de aprendizaje en Machine Learning. . . . #MachineLearning #IA #Clustering #Clasificacion #Regresion

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

K-Means: The ultimate matchmaking algorithm – grouping data points like a pro, but always asking, 'Are we really in the right cluster? #datascience #machinelearning #ai #ml #statistics #clustering

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

Ever noticed how we naturally group similar things together? That’s what clustering is all about! In the world of data, clustering helps computers organize information into groups based on similarities. Imagine sorting a pile of toys by color or type—that’s clustering in action! It’s used in everything from customer segmentation to organizing search results, making data easier to understand and work with. Join our program and learn more at @aifolksorg 🔥 #Clustering #DataScience #MachineLearning #AIExplained #DataMining #CustomerSegmentation #TechForBeginners #ArtificialIntelligence #DataGrouping #MLBasics #aifolks [clustering, data science, machine learning, customer segmentation, AI basics, data grouping, tech explained, data organization, aifolks, openbootcamp]

Aprende a crear un clon de Netflix con Node.js, MongoDB y Redis, y descubre cómo manejar miles de usuarios al mismo tiempo como un profesional del desarrollo. #NodeJS #MongoDB #Redis #Programación #NetflixClone #DesarrolloWeb #FullStack #Código #Streaming #Backend #DevLife #TutorialTech #Tecnología #AprenderProgramación #Clustering #Escalabilidad

What makes the #Zimablade perfect for #clustering? It's #x86 like most PCs but in an #SBC form factor. This has some big advantages! link in bio to full tutorial!

This StatQuest video provides an easy-to-follow explanation of K-means clustering, a popular unsupervised learning algorithm. It breaks down key concepts like centroids, clusters, and how the algorithm iteratively refines groupings to minimize within-cluster variance. Perfect for beginners looking to understand the basics of clustering in a clear and engaging way! #MachineLearning #AI #DataScience #ArtificialIntelligence #Clustering