February 2018
Intermediate to advanced
272 pages
8h 42m
English
Content preview from Machine Learning with TensorFlowBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Chapter 5. Automatically clustering data
This chapter covers
- Basic clustering with k-means
- Representing audio
- Audio segmentation
- Clustering with a self-organizing map
Suppose you have a collection of not-pirated, totally legal MP3s on your hard drive. All your songs are crowded in one massive folder. Perhaps automatically grouping similar songs into categories such as Country, Rap, and Rock would help organize them. This act of assigning an item to a group (such as an MP3 to a playlist) in an unsupervised fashion is called clustering.
The previous chapter on classification assumes you’re given a training dataset of correctly labeled data. ...
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