In this lesson, we will dig deeper into predictive analytics and find out how we can take advantage of it to cluster records belonging to a certain group or class for a dataset of unsupervised observations. We will provide some practical examples of unsupervised learning; in particular, clustering techniques using TensorFlow will be discussed with some hands-on examples.
The following topics will be covered in this lesson:
Unsupervised learning and clustering
Using K-means for predicting neighborhood
Using K-means for clustering audio files
Using unsupervised k-nearest neighborhood (kNN) for predicting nearest neighbors