Search Results - "Deep autoencoder-based clustering"

Matrix Factorization and Deep Autoencoder based Clustering Scheme for Large-scale UAV Networks by Fang, Jiaolan, Wang, Chan, Li, Rongpeng, Wei, Hanyu, Zhao, Minjian

“…In recent years, unmanned aerial vehicle (UAV) ad-hoc networks have achieved rapid development due to their autonomy and high reliability. Typically,…”
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Operationalization of the construct “Business model of a Bank”: clustering analyses with deep neural networks by Herdt, Manfred, Schulte-Mattler, Hermann

“…This paper presents a framework to operationalize the multidimensional construct of a bank's business model (BBM). We conceptualize the construct from a…”
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DAC: Deep Autoencoder-based Clustering, a General Deep Learning Framework of Representation Learning by Lu, Si, Li, Ruisi

“… When those assumptions does not hold, these algorithms then might not work. In this paper, we propose DAC, Deep Autoencoder-based Clustering, a generalized data-driven framework to learn clustering representations using deep neuron networks…”
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Operationalization of the construct “Business model of a Bank”: clustering analyses with deep neural networks: Operationalization of the construct “Business model of a Bank”: clustering analyses with deep by Herdt, Manfred, Schulte-Mattler, Hermann

“…This paper presents a framework to operationalize the multidimensional construct of a bank’s business model (BBM). We conceptualize the construct from a…”
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Structure-preserving deep embedded clustering algorithm for incomplete gene expression data by Wang, Zhencheng, Li, Dan

“… Existing deep autoencoder-based clustering algorithms for incomplete data are two-stage algorithms that perform feature learning before clustering, ignoring the correlation between the two tasks…”
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