From the course: Spark for Machine Learning & AI
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Introduction to clustering - Apache Spark Tutorial
From the course: Spark for Machine Learning & AI
Introduction to clustering
- [Instructor] Often when working with new data sets, it helps to explore the data and look for macro-level structures such as broad clusters of data. Clustering algorithms group data into clusters that allow us to see how large data sets can break down into distinct subgroups. K-means is widely used and works well for finding clusters in small and mid-sized data sets. For large data sets, the Bisecting K-means algorithms can be faster. We'll look at both of these algorithms and how to use them in Spark MLlib.
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