Spectral Embedded Deep Clustering

We propose a new clustering method based on a deep neural network. Given an unlabeled dataset and the number of clusters, our method directly groups the dataset into the given number of clusters in the original space. We use a conditional discrete probability distribution defined by a deep neural ne...

Full description

Bibliographic Details
Main Authors: Yuichiro Wada, Shugo Miyamoto, Takumi Nakagama, Léo Andéol, Wataru Kumagai, Takafumi Kanamori
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/21/8/795