Neural Networks Clustering

Neural Networks and Clustering (Autoencoders) youtube

• #1 : 개요, Autoencoder
• #2: Autoencoder + k-means, "autoencode based data slustering", 2013 song, et al
• #3: Autoencoder + Spectral Clustering, "Learning Deep Representation for graph clustering", 2014, tian et al.
• #4: Autoencoders + Sparese Subspace Clustering, "Deep subspace clustering Net, Ji, et al.

AUtoencoder

• 각 레이어는 representation이다.
• 입력과 출력이 같은 네트워크를 만들면
• 네트워크의 중간을 압축(작게)해도 출력을 생성할수 있는 충분한 정보(represeation)를 가지고 있을 것이다.

[기본적 방법] 1. Run autoencoder 2. Get f(x) 3. Run k-mean of f(x)

Neural Networks and Clustering =

• Neural Networks Clustering

참고 자료

Convolutional Autoencoder: Clustering Images with Neural Networks: blog, 2018.03.23

How to do Unsupervised Clustering with Keras : blog, 2018.06

Clustering with Deep Learning: Taxonomy and New Methods: 2018.01 [깃허브]

DeepCluster: A General Clustering Framework based on Deep Learning: 2017

Essentials of Deep Learning: Introduction to Unsupervised Deep Learning (with Python codes): 2018.05, analyticsvidhya