From the course: Spark for Machine Learning & AI
Join today to access over 22,600 courses taught by industry experts or purchase this course individually.
Summary of clustering techniques - Apache Spark Tutorial
From the course: Spark for Machine Learning & AI
Summary of clustering techniques
- [Instructor] Clustering algorithms are useful for exploring data. K-means is especially useful and commonly used for exploring small and modest sized data sets. For large data sets, hierarchical clustering algorithms, like bisecting K-means is a better option. One thing to keep in mind is that different algorithms may find different cluster centers, but in general, they should be fairly close.
Practice while you learn with exercise files
Download the files the instructor uses to teach the course. Follow along and learn by watching, listening and practicing.
Download courses and learn on the go
Watch courses on your mobile device without an internet connection. Download courses using your iOS or Android LinkedIn Learning app.