Unsupervised learning: A deeper dive into clustering, dimensionality reduction, and autoencoders

[@ravedavedave]

Amazing overview of techniques, thank you!

[@larsjuhljensen]

Glad you enjoyed it!

[@kiannaquines702]

can you use the autoencoder and cluster the result using DBSCAN?

[@larsjuhljensen]

I cannot think of a good reason why you could not do that. An autoencoder simply maps high-dimensional data into a latent space. Any clustering algorithm that can take vectors as input could start from the latent representation of an autoencoder.

[@jeremyyang735]

Thank you. Excellent.

[@larsjuhljensen]

Thanks Jeremy!

[@blago7daren]

Big thanks!

[@larsjuhljensen]

You're welcome!

[@DrAkhtarAli08]

Great...