Clustering with bregman divergences, Journal of Machine Learning Research, vol.6, pp.1705-1749, 2005. ,
Semi-supervised clustering by seeding, ICML. pp, pp.27-34, 2002. ,
A probabilistic framework for semi-supervised clustering, pp.59-68, 2004. ,
Integrating constraints and metric learning in semi-supervised clustering, ICML, pp.81-88, 2004. ,
Simple and scalable constrained clustering: a generalized spectral method, AISTATS. pp, pp.445-454, 2016. ,
Intractability and clustering with constraints, ICML. pp, pp.201-208, 2007. ,
Information-theoretic metric learning, ICML, pp.209-216, 2007. ,
Semi-Supervised Autoencoder: A Joint Approach of Representation and Classification, CICN, pp.1424-1430, 2015. ,
Smart mining for deep metric learning, ICCV, pp.2840-2848, 2017. ,
Comparing partitions, Journal of Classification, vol.2, issue.1, pp.193-218, 1985. ,
Semi-supervised clustering with multiresolution autoencoders, IJCNN. pp, pp.1-8, 2018. ,
URL : https://hal.archives-ouvertes.fr/hal-01931471
Kernelized evolutionary distance metric learning for semi-supervised clustering, pp.4945-4946, 2017. ,
Adam: A method for stochastic optimization, 2014. ,
From instance-level constraints to spacelevel constraints: Making the most of prior knowledge in data clustering, pp.307-314, 2002. ,
Semisupervised clustering with metric learning using relative comparisons, IEEE Trans. Knowl. Data Eng, vol.20, issue.4, pp.496-503, 2008. ,
Deep learning, Nature, vol.521, p.436, 2015. ,
Visualizing high-dimensional data using t-sne, vol.9, pp.2579-2605, 2008. ,
A survey of clustering with deep learning: From the perspective of network architecture, IEEE Access, vol.6, pp.39501-39514, 2018. ,
Integrating distance metric learning and cluster-level constraints in semi-supervised clustering, IJCNN. pp, pp.4118-4125, 2017. ,
Semi-supervised learning with ladder networks, NIPS, pp.3546-3554, 2015. ,
Semi-supervised deep embedded clustering, Neurocomputing, vol.325, pp.121-130, 2019. ,
Cluster ensembles -A knowledge reuse framework for combining multiple partitions, Journal of Machine Learning Research, vol.3, pp.583-617, 2002. ,
Constrained k-means clustering with background knowledge, ICML, pp.577-584, 2001. ,
Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms, 2017. ,
Unsupervised deep embedding for clustering analysis, ICML. pp, pp.478-487, 2016. ,
Correcting the triplet selection bias for triplet loss, ECCV, pp.71-86, 2018. ,
An adversarial approach to hard triplet generation, ECCV, pp.508-524, 2018. ,
Constrained clustering with imperfect oracles, IEEE Trans. Neural Netw. Learning Syst, vol.27, issue.6, pp.1345-1357, 2016. ,