BriefGPT.xyz
Dec, 2017
使用自编码器混合进行深度无监督聚类
Deep Unsupervised Clustering Using Mixture of Autoencoders
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Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano
TL;DR
本文提出了一种新的无监督聚类方法,使用自编码器混合模型来识别和分离数据中的低维非线性流形,并通过神经网络同时学习每个聚类簇的潜在流形结构。
Abstract
unsupervised clustering
is one of the most fundamental challenges in machine learning. A popular hypothesis is that data are generated from a union of low-dimensional
nonlinear manifolds
; thus an approach to clus
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