Playing around with features for the next version of #chromamagic. Producing a reduced palette is trickier than you might think to make something useful for painters. #octtree #kmeans #imagequantization #oilpainting #watercolor

Matplotlib Cluster Visualization: K-Means vs. Agglomerative Clustering
Master Matplotlib Cluster Visualization! Learn K-Means & Agglomerative Clustering, enhance visualizations, handle outliers, & create interactive plots for insightful data analysis. #MatplotlibVisualization #DataVisualization #ClusteringAlgorithms #KMeans #AgglomerativeClustering #DataAnalysis
https://tech-champion.com/programming/python-programming/matplotlib-cluster-visualization-k-means-vs-agglomerative-clustering/

Matplotlib Cluster Visualization: K-Means vs. Agglomerative Clustering
Master Matplotlib Cluster Visualization! Learn K-Means & Agglomerative Clustering, enhance visualizations, handle outliers, & create interactive plots for insightful data analysis. #MatplotlibVisualization #DataVisualization #ClusteringAlgorithms #KMeans #AgglomerativeClustering #DataAnalysis
https://tech-champion.com/programming/python-programming/matplotlib-cluster-visualization-k-means-vs-agglomerative-clustering/

Master K-means Clustering with Rand Index and Adjusted Rand Score. Unlock valuable insights into your data by grouping and evaluating points for maximum clarity. #kmeans #clustering

https://teguhteja.id/k-means-clustering-master-rand-index-adjusted-rand-score/

Машинное обучение: Кластеризация методом K-means. Теория и реализация. С нуля

Здравствуйте, дорогие читатели. В этой статье я приведу разбор того, как работает метод кластеризации К-средних на низком уровне. Содержание: идея метода, как присваивать метки неразмеченным объектам, реализация на чистом Python и разбор кода.

https://habr.com/ru/articles/868542/

#кластеризация #kmeans #kсредних #машинное_обучение

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.

https://habr.com/ru/articles/821287/

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

Анализ новостей с помощью сегментации и кластеризации временных рядов

В Отусе я прошла курс ML Advanced и открыла для себя интересные темы, связанные с анализом временных рядов, а именно, их сегментацию и кластеризацию. Я решила позаимствовать полученные знания для своей дипломной университетской работы по ивент-анализу социальных явлений и событий и описать часть этого исследования в данной статье. Шаг 1. Сбор данных В качестве источника данных я взяла информационно-новостной ресурс Лента.ру , так как с него легко парсить данные, новости разнообразны и пополняются в большом объеме ежедневно. Для теста я спарсила новости за последний год (март 2023 – март 2024) с помощью питоновских BeautifulSoup и requests . В коде происходит процедура сбора заголовка, даты и тематики новостей:

https://habr.com/ru/articles/805801/

#сегментация #анализ_временных_рядов #кластеризация_данных #новостные_ресурсы #тематическое_моделирование #kmeans #python #машинное_обучение #otus

Principal Component Analysis (PCA) reduces the dimensionality of your data, enhancing the efficiency and accuracy of K-means clustering by focusing on the most informative features.

More info in my upcoming course: https://statisticsglobe.com/online-course-pca-theory-application-r

#PCA #KMeans #DataAnalysis #rstats #datascience

Thanks !!!! :blobaww:

https://www.kaggle.com/code/sc0v1n0/k-means-classifier-recommend-movies

#kaggle #notebook #jupyternotebook #learn #learning #kmeans #classifier #sklearn #pandas #python

🔍 Discover the power of k-means clustering in machine learning! Understand its applications and learn to analyze results effectively. 💡👉 https://ak-codes.com/k-means-clustering/ #MachineLearning #KMeans

Want to get the scoop on the EM algorithm in machine learning? 🧠 Find out how it compares to K-means clustering! 🔍 Check it out 👉 https://ak-codes.com/em-algorithm-in-machine-learning/ #MachineLearning #EMAlgorithm #Kmeans

Spherical clustering got me acting strange...

#kmeans #machinelearing #sphere

#psychometrics community: I found a paper that developed a short scale and tested it via #LPA and #kmeans clustering. (Paper here: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0281021). Now for me, this is odd as it uses two clustering techniques to assess scale quality. But then again this is a sociology paper and I know that sociologists and psychologists have a different world view. In case you didn't know: Sociologists tend to look at groups within society or societies at large, whereas psychologists tend to see individuals and groups as aggregates of individuals. Obviously, coming from a sociological perspective, using such clustering methods makes sense. However, I still have mixed feelings about this approach. I still feel a IRT approach would be better since obviously k-means and LPA does NOTHING to evaluate items, for example.

How do you see this? Am I completely wrong here?

Some methods to determine the number of components or clusters in PCA or k-means clustering: https://thomasgladwin.substack.com/p/finding-the-true-number-of-components/. These at least work in the limit of ideal simulated data.

The basic rationale is to use random split-half data to identify what's "true" versus sampling error. Scores are based on similarities between eigenvectors or cluster centres, rather than, e.g., the shape of the eigenvalue plot.

#machineLearning #clustering #kmeans #PCA #scree #python

💡 Come si possono analizzare automaticamente centinaia di migliaia di recensioni per trasformarle in leve per l'#ecommerce?
🧠 L'#AI ci può aiutare!
🚀 Sfruttando gli algoritmi di #OpenAI possiamo generare gli #embeddings e clusterizzarli attraverso #Kmeans. 
🦾 Con #GPT4, infine, possiamo descrivere automaticamente i cluster! 
⚡ Scopriamo come.

#IntelligenzaArtificiale #marketing #SEO

---

https://www.alessiopomaro.it/embeddings-gpt4-clusterizzare-ai/

🧠 Un esempio di clusterizzazione di recensioni sfruttando gli #embeddings e #KMeans. 

🦾 Con #GPT4, i cluster vengono etichettati in base alle caratteristiche.

#AI #IntelligenzaArtificiale #LLM #Openai #ecommerce #Python

Love the recent #xkcd 😂

https://imgs.xkcd.com/comics/k_means_clustering.png

#kmeans #machinelearning #ml

🧠 Come si possono clusterizzare delle recensioni di un #ecommerce attraverso l'#AI?

⭐ Il post presenta una guida semplice su come utilizzare gli embeddings di #GPT3 proprio per questo scopo.

💡 Il modello genera i vettori delle recensioni, che vengono usati per raggrupparle attraverso #kMeans e generare la rappresentazione.

📊 Usando il modello #davinci, i cluster possono anche essere descritti automaticamente.

🔗 La guida: https://betterprogramming.pub/openais-embedding-model-with-vector-database-b69014f04433

☝️ Non esiste solo #ChatGPT! 🙂

#SEO 

if you're using #kmeans or other clustering algorithms and you use the elbow-method or visual inspection to choose the number of clusters, this paper is for you.

https://arxiv.org/abs/2212.12189?utm_source=twitter&utm_medium=social&utm_campaign=tweepsmap-dailytwitter

#machinelearning

#arxivfeed :

"Asymptotics for The k-means"
https://arxiv.org/abs/2211.10015

#MachineLearning #UnsupervisedLearning #kMeans #Clustering