OpenTechBook
  • Home
  • Open Books
    • All Open Books

    • Free eBooks
    • Free Magazines
    • Free Journals

    • Submit an Open Book
  • Quizzes
Home » Quiz » Machine Learning Quiz

In K-means clustering, the value of K represents the number of ________.

Difficulty level
  • Clusters
  • Data Points
  • Features
  • Centroids
In K-means clustering, 'K' represents the number of clusters you want to partition your data into. Each cluster will have its centroid.
Add your answer
Loading...
Facebook Twitter Linkedin Reddit Pinterest
Machine Learning Quiz
Quiz
You are working on a dataset with a large number of features. While some of them seem relevant, many appear to be redundant or irrelevant. What technique would you employ to enhance model performance and interpretability?
A company is transitioning from SVN to Git. They want to ensure their historical branches and tags are preserved. What migration strategy should they use?

Related Quiz

  • In convolutional neural networks, using weights from models trained on large datasets like ImageNet as a starting point for training on a new task is an application of ________.
  • In the context of PCA, what do the principal components represent?
  • Dimensionality reduction techniques, like PCA and t-SNE, are essential when dealing with the ________ curse.
  • Which NLP technique is often employed to extract structured information from unstructured medical notes?
  • In a DQN, the primary function of the neural network is to approximate which function?

Leave a commentCancel

Your email address will not be published. Required fields are marked *

Hot Quiz

Python QuizPHP QuizServlet QuizData Analyst QuizAppium QuizSpring Boot QuizADO.NET QuizAPI Testing QuizNode.js QuizDatabase Testing QuizAWS Lambda QuizAutomation Testing QuizData Science Statistics QuizWeb Services QuizSoftware Testing QuizC Language QuizR Programming QuizC++ QuizBootstrap QuizAlgorithm Quiz
Copyright © 2024 Open Tech Book
  • About
  • Contact
  • FAQ
  • DMCA
  • Disclaimer
  • Privacy Policy