Deep Learning for Clustering

Previously I published an ICLR 2017 discoveries blog post about Unsupervised Deep Learning – a subset of Unsupervised methods is Clustering, and this blog post has recent publications about Deep Learning for Clustering.

Best regards,

Amund Tveit

 

Year  Title Author
2016   An Intention-Topic Model Based on Verbs Clustering and Short Texts Topic Mining  T Lu, S Hou, Z Chen, L Cui, L Zhang
2016   Speaker Identification And Clustering Using Convolutional Neural Networks  Y Lukic, C Vogt, O Dürr, T Stadelmann
2016   Building energy modeling (BEM) using clustering algorithms and semi-supervised machine learning approaches  H Naganathan, WO Chong, X Chen
2016   Clustering Based Feature Learning on Variable Stars  C Mackenzie, K Pichara, P Protopapas
2016   Deep Belief Networks Oriented Clustering  Q Yang, H Wang, T Li, Y Yang
2016   Clustering Non-Stationary Data Streams with Online Deep Learning  A Hontabat, M Rising
2016   Fast image clustering based on convolutional neural network and binary K-means  S Ke, Y Zhao, B Li, Z Wu, X Liu
2016   Extracting Bottlenecks for Reinforcement Learning Agent by Holonic Concept Clustering and Attentional Functions  B Ghazanfari, N Mozayani
2016   A Hybrid Spectral Clustering and Deep Neural Network Ensemble Algorithm for Intrusion Detection in Sensor Networks  T Ma, F Wang, J Cheng, Y Yu, X Chen
2016   Single-Channel Multi-Speaker Separation using Deep Clustering  Y Isik, JL Roux, Z Chen, S Watanabe, JR Hershey
2016   Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering  B Yang, X Fu, ND Sidiropoulos, M Hong
2016   A Personalized Markov Clustering and Deep Learning Approach for Arabic Text Categorization  V Jindal
2016   Clustering the seoul metropolitan area by travel patterns based on a deep belief network  G Han, K Sohn
2016   An Empirical Investigation of Word Clustering Techniques for Natural Language Understanding  DA Shunmugam, P Archana
2016   Infinite Ensemble for Image Clustering  H Liu, M Shao, S Li, Y Fu
2015   Theoretical Analysis-based Distributed Load Balancing over Dynamic Overlay Clustering  H Lee, B Kwon, S Kim, I Lee, S Lee
2015   Competitive and Penalized Clustering Auto-encoder  Z Wang, Y Cheung
2015   Learning A Task-Specific Deep Architecture For Clustering  Z Wang, S Chang, J Zhou, TS Huang
2015   Pedestrian detection in thermal images using adaptive fuzzy C-means clustering and convolutional neural networks  V John, S Mita, Z Liu, B Qi
2015   Active Learning with Clustering and Unsupervised Feature Learning  S Berardo, E Favero, N Neto
2015   Clustering Noisy Signals with Structured Sparsity Using Time-Frequency Representation  T Hope, A Wagner, O Zuk
2015   Neuron Clustering for Mitigating Catastrophic Forgetting in Supervised and Reinforcement Learning  BF Goodrich
2015   Clustering Data of Mixed Categorical and Numerical Type with Unsupervised Feature Learning  D Lam, M Wei, D Wunsch
2015   Semi-supervised Hierarchical Clustering Ensemble and Its Application  W Xiao, Y Yang, H Wang, T Li, H Xing
2015   FaceNet: A Unified Embedding for Face Recognition and Clustering  F Schroff, D Kalenichenko, J Philbin
2015   Deep Transductive Semi-supervised Maximum Margin Clustering  G Chen
2015   Max-Entropy Feed-Forward Clustering Neural Network  H Xiao, X Zhu
2015   Overview of the ImageCLEF 2015 medical clustering task  MA Amin, MK Mohammed
2015   Joint Image Clustering and Labeling by Matrix Factorization  S Hong, J Choi, J Feyereisl, B Han, LS Davis
2015   Combining deep learning and unsupervised clustering to improve scene recognition performance  A Kappeler, RD Morris, AR Kamat, N Rasiwasia
2015   Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering  Y Zhao, Z Gao, L Wang, L Zhou
2015   Soft context clustering for F0 modeling in HMM-based speech synthesis  S Khorram, H Sameti, S King
2015   Semi-automatic ground truth generation using unsupervised clustering and limited manual labeling: Application to handwritten character recognition  S Vajda, Y Rangoni, H Cecotti
2015   Language discrimination and clustering via a neural network approach  A Mariano, G Parisi, S Pascazio
2015   Active Distance-Based Clustering using K-medoids  A Aghaee, M Ghadiri, MS Baghshah
2015   Convolutional Clustering for Unsupervised Learning  A Dundar, J Jin, E Culurciello
2015   Deep Learning with Nonparametric Clustering  G Chen
2015   Multi-view clustering via structured low-rank representation  D Wang, Q Yin, R He, L Wang, T Tan
2014   A Convex Formulation for Spectral Shrunk Clustering  X Chang, F Nie, Z Ma, Y Yang, X Zhou
2014   Ghent University-iMinds at MediaEval 2014 Diverse Images: Adaptive Clustering with Deep Features  B Vandersmissen, A Tomar, F Godin, W De Neve
2014   Features in Concert: Discriminative Feature Selection meets Unsupervised Clustering  M Leordeanu, A Radu, R Sukthankar
2014   Deep Embedding Network for Clustering  P Huang, Y Huang, W Wang, L Wang
2014   SoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering  H Zhao, P Poupart, Y Zhang, M Lysy

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