Search 6,000+ CA Community College Courses
How K-Nearest Neighbors Works

How K-Nearest Neighbors Works

Brandon Rohrer via YouTube Direct link

Expensive to compute with large data sets. Sensitive to feature scaling. Sensitive to distance metric.

8 of 8
Previous

8 of 8

Expensive to compute with large data sets. Sensitive to feature scaling. Sensitive to distance metric.

Class Central Classrooms beta

YouTube videos curated by Class Central.

Classroom Contents

How K-Nearest Neighbors Works

Automatically move to the next video in the Classroom when playback concludes
  1. 1 Intro
  2. 2 for classification
  3. 3 Choice of k matters
  4. 4 Feature scaling matters
  5. 5 Distance metric matters
  6. 6 K-NN with categorical data
  7. 7 for regression
  8. 8 Expensive to compute with large data sets. Sensitive to feature scaling. Sensitive to distance metric.

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.