Deep Unsupervised Clustering Using Mixture of Autoencoders(2017)
Abstract 我們的模型由兩個部分組成：1)a collection of autoencoders,每個都會學習相似數據的潛在manifold，2)a mixture neural network,接受來自autoencoders的concatenated vectors，推斷在聚類上的分佈。通過同時優化這兩個部分，我們可以同時將數據分配給聚類，學習每個聚類的潛在流形。 1 Introduc
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相關文章
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