Reducing the Dimensionality of House Price Indices with LSTM-Autoencoders for Cluster Analysis

Additional Metadata
Keywords	time-series clustering; high-dimensional data; deep learning; autoencoders; long short-term memory; vector autoregression; house price indices
Thesis Advisor	Khismatullina, M
Persistent URL	hdl.handle.net/2105/65761
Series	Econometrie
Organisation	Erasmus School of Economics
Citation APA Style AAA Style APA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Waltmans, T.A. (2023, February 23). Reducing the Dimensionality of House Price Indices with LSTM-Autoencoders for Cluster Analysis. Econometrie. Retrieved from http://hdl.handle.net/2105/65761

Publication