CODEWITHSUNDEEP
machine-learningscikit-learndata-scienceunsupervised-learning
user2793618
user2793618

Reputation: 312

Affinity Propagation for Image Clustering

The link here describes a method for image classification using affinity propagation. I'm confused as to how they got the feature vectors, i.e, the data structure of the images, e.g, arrays?

Additionally, how would I accomplish this given that I can't use Places365 as it's custom data (audio spectrograms)?

Finally, how would I plot the images as they've done in the diagram?

Upvotes: 0

Views: 440

Answers (1)

dgumo
dgumo

Reputation: 1878

The images are passed through a neural network. The activations of neural network layer for an image is the feature vector. See https://keras.io/applications/ for examples.

Spectrograms can be treated like images.

Sometimes even when domain is very different, the neural network features can extract useful information that can help you with clustering/classification tasks.

Upvotes: 1

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