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Numerical methods for computing angles between linear subspaces. Mathematics of computation, Vol. 27, 123 (1973), 579--594."},{"key":"e_1_3_2_2_4_1","unstructured":"Joan Bruna and Stephane Mallat. 2012. Invariant Scattering Convolutional Networks. (2012). Joan Bruna and Stephane Mallat. 2012. Invariant Scattering Convolutional Networks. (2012)."},{"key":"e_1_3_2_2_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/973264.973295"},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.1000236"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2015.06.090"},{"key":"e_1_3_2_2_8_1","volume-title":"Adversarial feature learning. arXiv preprint arXiv:1605.09782","author":"Donahue Jeff","year":"2016","unstructured":"Jeff Donahue , Philipp Kr\"ahenb \u00fchl , and Trevor Darrell . 2016. Adversarial feature learning. arXiv preprint arXiv:1605.09782 ( 2016 ). Jeff Donahue, Philipp Kr\"ahenb\u00fchl, and Trevor Darrell. 2016. 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In IJCAI. 1753--1759. Xifeng Guo Long Gao Xinwang Liu and Jianping Yin. 2017a. Improved deep embedded clustering with local structure preservation.. In IJCAI. 1753--1759.","DOI":"10.24963\/ijcai.2017\/243"},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-70096-0_39"},{"key":"e_1_3_2_2_13_1","volume-title":"Nature","volume":"585","author":"Harris Charles R","year":"2020","unstructured":"Charles R Harris , K Jarrod Millman , St\u00e9fan J van der Walt , Ralf Gommers , Pauli Virtanen , David Cournapeau , Eric Wieser , Julian Taylor , Sebastian Berg , Nathaniel J Smith , 2020 . Array programming with NumPy . Nature , Vol. 585 , 7825 (2020), 357--362. Charles R Harris, K Jarrod Millman, St\u00e9fan J van der Walt, Ralf Gommers, Pauli Virtanen, David Cournapeau, Eric Wieser, Julian Taylor, Sebastian Berg, Nathaniel J Smith, et al. 2020. Array programming with NumPy. 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IEEE transactions on cybernetics, Vol. 49, 3 (2018), 1058--1071."},{"key":"e_1_3_2_2_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903410"},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2015.2500889"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/34.291440"},{"key":"e_1_3_2_2_19_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289588"},{"key":"e_1_3_2_2_20_1","unstructured":"Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105. Alex Krizhevsky Ilya Sutskever and Geoffrey E Hinton. 2012. Imagenet classification with deep convolutional neural networks. In Advances in neural information processing systems. 1097--1105."},{"key":"e_1_3_2_2_21_1","volume-title":"The MNIST database of handwritten digits","author":"LeCun Yann","year":"1998","unstructured":"Yann LeCun , Corinna Cortes , and Christopher JC Burges . 1998. The MNIST database of handwritten digits , 1998 . URL http:\/\/yann. lecun. com\/exdb\/mnist, Vol. 10 (1998), 34. Yann LeCun, Corinna Cortes, and Christopher JC Burges. 1998. The MNIST database of handwritten digits, 1998. URL http:\/\/yann. lecun. com\/exdb\/mnist, Vol. 10 (1998), 34."},{"key":"e_1_3_2_2_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ISCAS.2010.5537907"},{"key":"e_1_3_2_2_23_1","volume-title":"2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 789--796","author":"Li Zhenguo","year":"2012","unstructured":"Zhenguo Li , Xiao-Ming Wu , and Shih-Fu Chang . 2012 . Segmentation using superpixels: A bipartite graph partitioning approach . In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 789--796 . Zhenguo Li, Xiao-Ming Wu, and Shih-Fu Chang. 2012. Segmentation using superpixels: A bipartite graph partitioning approach. In 2012 IEEE Conference on Computer Vision and Pattern Recognition. IEEE, 789--796."},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"crossref","unstructured":"Ulrike Von Luxburg. 2007. A Tutorial on Spectral Clustering. Ulrike Von Luxburg. 2007. A Tutorial on Spectral Clustering.","DOI":"10.1007\/s11222-007-9033-z"},{"key":"e_1_3_2_2_25_1","volume-title":"Proceedings of the fifth Berkeley symposium on mathematical statistics and probability","volume":"1","author":"James","unstructured":"James MacQueen et al. 1967. Some methods for classification and analysis of multivariate observations . In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability , Vol. 1 . Oakland, CA, USA, 281--297. James MacQueen et al. 1967. Some methods for classification and analysis of multivariate observations. In Proceedings of the fifth Berkeley symposium on mathematical statistics and probability, Vol. 1. Oakland, CA, USA, 281--297."},{"key":"e_1_3_2_2_26_1","volume-title":"Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs","author":"Malkov Yury A","year":"2018","unstructured":"Yury A Malkov and Dmitry A Yashunin . 2018. Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs . IEEE transactions on pattern analysis and machine intelligence ( 2018 ). Yury A Malkov and Dmitry A Yashunin. 2018. Efficient and robust approximate nearest neighbor search using hierarchical navigable small world graphs. IEEE transactions on pattern analysis and machine intelligence (2018)."},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.1002\/cpa.21413"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.1098\/rsta.2015.0203"},{"key":"e_1_3_2_2_29_1","volume-title":"arXiv preprint arXiv:1908.05968","author":"McConville Ryan","year":"2019","unstructured":"Ryan McConville , Raul Santos-Rodriguez , Robert J Piechocki , and Ian Craddock . 2019. N2d:(not too) deep clustering via clustering the local manifold of an autoencoded embedding. arXiv preprint arXiv:1908.05968 ( 2019 ). Ryan McConville, Raul Santos-Rodriguez, Robert J Piechocki, and Ian Craddock. 2019. N2d:(not too) deep clustering via clustering the local manifold of an autoencoded embedding. arXiv preprint arXiv:1908.05968 (2019)."},{"key":"e_1_3_2_2_30_1","volume-title":"Adversarial deep embedded clustering: on a better trade-off between feature randomness and feature drift","author":"Mrabah Nairouz","year":"2020","unstructured":"Nairouz Mrabah , Mohamed Bouguessa , and Riadh Ksantini . 2020. Adversarial deep embedded clustering: on a better trade-off between feature randomness and feature drift . IEEE Transactions on Knowledge and Data Engineering ( 2020 ). Nairouz Mrabah, Mohamed Bouguessa, and Riadh Ksantini. 2020. Adversarial deep embedded clustering: on a better trade-off between feature randomness and feature drift. IEEE Transactions on Knowledge and Data Engineering (2020)."},{"key":"e_1_3_2_2_31_1","first-page":"209","article-title":"Content based image retrieval using Hierarchical and K-means clustering techniques","volume":"2","author":"Murthy VSVS","year":"2010","unstructured":"VSVS Murthy , E Vamsidhar , JNVR Swarup Kumar , P Sankara Rao , 2010 . Content based image retrieval using Hierarchical and K-means clustering techniques . International Journal of Engineering Science and Technology , Vol. 2 , 3 (2010), 209 -- 212 . VSVS Murthy, E Vamsidhar, JNVR Swarup Kumar, P Sankara Rao, et al. 2010. Content based image retrieval using Hierarchical and K-means clustering techniques. International Journal of Engineering Science and Technology, Vol. 2, 3 (2010), 209--212.","journal-title":"International Journal of Engineering Science and Technology"},{"key":"e_1_3_2_2_32_1","unstructured":"Andrew Y Ng Michael I Jordan and Yair Weiss. 2002. On spectral clustering: Analysis and an algorithm. In Advances in neural information processing systems. 849--856. Andrew Y Ng Michael I Jordan and Yair Weiss. 2002. On spectral clustering: Analysis and an algorithm. In Advances in neural information processing systems. 849--856."},{"key":"e_1_3_2_2_33_1","volume-title":"Scattering networks for hybrid representation learning","author":"Oyallon Edouard","year":"2018","unstructured":"Edouard Oyallon , Sergey Zagoruyko , Gabriel Huang , Nikos Komodakis , Simon Lacoste-Julien , Matthew Blaschko , and Eugene Belilovsky . 2018. Scattering networks for hybrid representation learning . IEEE transactions on pattern analysis and machine intelligence, Vol. 41 , 9 ( 2018 ), 2208--2221. Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew Blaschko, and Eugene Belilovsky. 2018. Scattering networks for hybrid representation learning. IEEE transactions on pattern analysis and machine intelligence, Vol. 41, 9 (2018), 2208--2221."},{"key":"e_1_3_2_2_34_1","volume-title":"Scikit-learn: Machine learning in Python. the Journal of machine Learning research","author":"Pedregosa Fabian","year":"2011","unstructured":"Fabian Pedregosa , Ga\u00ebl Varoquaux , Alexandre Gramfort , Vincent Michel , Bertrand Thirion , Olivier Grisel , Mathieu Blondel , Peter Prettenhofer , Ron Weiss , Vincent Dubourg , 2011 . Scikit-learn: Machine learning in Python. the Journal of machine Learning research , Vol. 12 (2011), 2825--2830. Fabian Pedregosa, Ga\u00ebl Varoquaux, Alexandre Gramfort, Vincent Michel, Bertrand Thirion, Olivier Grisel, Mathieu Blondel, Peter Prettenhofer, Ron Weiss, Vincent Dubourg, et al. 2011. Scikit-learn: Machine learning in Python. the Journal of machine Learning research, Vol. 12 (2011), 2825--2830."},{"key":"e_1_3_2_2_35_1","volume-title":"Deep density-based image clustering. Knowledge-Based Systems","author":"Ren Yazhou","year":"2020","unstructured":"Yazhou Ren , Ni Wang , Mingxia Li , and Zenglin Xu. 2020. Deep density-based image clustering. Knowledge-Based Systems ( 2020 ), 105841. Yazhou Ren, Ni Wang, Mingxia Li, and Zenglin Xu. 2020. Deep density-based image clustering. Knowledge-Based Systems (2020), 105841."},{"key":"e_1_3_2_2_36_1","volume-title":"Gaussian Mixture Models. Encyclopedia of biometrics","author":"Reynolds Douglas A","year":"2009","unstructured":"Douglas A Reynolds . 2009. Gaussian Mixture Models. Encyclopedia of biometrics , Vol. 741 ( 2009 ). Douglas A Reynolds. 2009. Gaussian Mixture Models. Encyclopedia of biometrics, Vol. 741 (2009)."},{"key":"e_1_3_2_2_37_1","volume-title":"Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199","author":"Szegedy Christian","year":"2013","unstructured":"Christian Szegedy , Wojciech Zaremba , Ilya Sutskever , Joan Bruna , Dumitru Erhan , Ian Goodfellow , and Rob Fergus . 2013. Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199 ( 2013 ). Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. 2013. Intriguing properties of neural networks. arXiv preprint arXiv:1312.6199 (2013)."},{"key":"e_1_3_2_2_38_1","first-page":"1379","article-title":"A comparative study of various clustering algorithms in data mining","volume":"2","author":"Verma Manish","year":"2012","unstructured":"Manish Verma , Mauly Srivastava , Neha Chack , Atul Kumar Diswar , and Nidhi Gupta . 2012 . A comparative study of various clustering algorithms in data mining . International Journal of Engineering Research and Applications (IJERA) , Vol. 2 , 3 (2012), 1379 -- 1384 . Manish Verma, Mauly Srivastava, Neha Chack, Atul Kumar Diswar, and Nidhi Gupta. 2012. A comparative study of various clustering algorithms in data mining. International Journal of Engineering Research and Applications (IJERA), Vol. 2, 3 (2012), 1379--1384.","journal-title":"International Journal of Engineering Research and Applications (IJERA)"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/1756006.1953024"},{"key":"e_1_3_2_2_40_1","volume-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747","author":"Xiao Han","year":"2017","unstructured":"Han Xiao , Kashif Rasul , and Roland Vollgraf . 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 ( 2017 ). Han Xiao, Kashif Rasul, and Roland Vollgraf. 2017. Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms. arXiv preprint arXiv:1708.07747 (2017)."},{"key":"e_1_3_2_2_41_1","volume-title":"International conference on machine learning. 478--487","author":"Xie Junyuan","year":"2016","unstructured":"Junyuan Xie , Ross Girshick , and Ali Farhadi . 2016 . Unsupervised deep embedding for clustering analysis . In International conference on machine learning. 478--487 . Junyuan Xie, Ross Girshick, and Ali Farhadi. 2016. Unsupervised deep embedding for clustering analysis. In International conference on machine learning. 478--487."},{"key":"e_1_3_2_2_42_1","volume-title":"international conference on machine learning. PMLR, 3861--3870","author":"Yang Bo","year":"2017","unstructured":"Bo Yang , Xiao Fu , Nicholas D Sidiropoulos , and Mingyi Hong . 2017 . Towards k-means-friendly spaces: Simultaneous deep learning and clustering . In international conference on machine learning. PMLR, 3861--3870 . Bo Yang, Xiao Fu, Nicholas D Sidiropoulos, and Mingyi Hong. 2017. Towards k-means-friendly spaces: Simultaneous deep learning and clustering. In international conference on machine learning. PMLR, 3861--3870."},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.556"},{"key":"e_1_3_2_2_44_1","volume-title":"Deep network classification by scattering and homotopy dictionary learning. arXiv preprint arXiv:1910.03561","author":"Zarka John","year":"2019","unstructured":"John Zarka , Louis Thiry , Tom\u00e1s Angles , and St\u00e9phane Mallat . 2019. Deep network classification by scattering and homotopy dictionary learning. arXiv preprint arXiv:1910.03561 ( 2019 ). John Zarka, Louis Thiry, Tom\u00e1s Angles, and St\u00e9phane Mallat. 2019. 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