references.bib

%==============================================================================
% General hyperspectral remote-sensing literature
%==============================================================================

@article{bioucasdias2013,
  author  = {Bioucas-Dias, Jos{\'e} M. and Plaza, Antonio and
             Camps-Valls, Gustavo and Scheunders, Paul and
             Nasrabadi, Nasser M. and Chanussot, Jocelyn},
  title   = {Hyperspectral Remote Sensing Data Analysis and Future Challenges},
  journal = {IEEE Geoscience and Remote Sensing Magazine},
  year    = {2013},
  volume  = {1},
  number  = {2},
  pages   = {6--36},
  doi     = {10.1109/MGRS.2013.2244672},
  url     = {https://doi.org/10.1109/MGRS.2013.2244672}
}

@article{he2018,
  author  = {He, Lin and Li, Jun and Liu, Chenying and Li, Shutao},
  title   = {Recent Advances on Spectral--Spatial Hyperspectral Image
             Classification: An Overview and New Guidelines},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year    = {2018},
  volume  = {56},
  number  = {3},
  pages   = {1579--1597},
  doi     = {10.1109/TGRS.2017.2765364},
  url     = {https://doi.org/10.1109/TGRS.2017.2765364}
}

%==============================================================================
% Hyperspectral clustering and spectral-spatial analysis
%==============================================================================

@article{mehta2016,
  author  = {Mehta, Anand and Dikshit, Onkar},
  title   = {Comparative Study on Projected Clustering Methods for
             Hyperspectral Imagery Classification},
  journal = {Geocarto International},
  year    = {2016},
  volume  = {31},
  number  = {3},
  pages   = {296--307},
  doi     = {10.1080/10106049.2015.1047416},
  url     = {https://doi.org/10.1080/10106049.2015.1047416}
}

@article{su2012,
  author  = {Su, Hongjun and Du, Qian},
  title   = {Hyperspectral Band Clustering and Band Selection for Urban
             Land Cover Classification},
  journal = {Geocarto International},
  year    = {2012},
  volume  = {27},
  number  = {5},
  pages   = {395--411},
  doi     = {10.1080/10106049.2011.643322},
  url     = {https://doi.org/10.1080/10106049.2011.643322}
}

@article{zhang2016,
  author  = {Zhang, Hongyan and Zhai, Han and Zhang, Liangpei and Li, Pingxiang},
  title   = {Spectral--Spatial Sparse Subspace Clustering for Hyperspectral
             Remote Sensing Images},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year    = {2016},
  volume  = {54},
  number  = {6},
  pages   = {3672--3684},
  doi     = {10.1109/TGRS.2016.2524557},
  url     = {https://doi.org/10.1109/TGRS.2016.2524557}
}

@article{murphy2019,
  author  = {Murphy, James M. and Maggioni, Mauro},
  title   = {Unsupervised Clustering and Active Learning of Hyperspectral
             Images With Nonlinear Diffusion},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year    = {2019},
  volume  = {57},
  number  = {3},
  pages   = {1829--1845},
  doi     = {10.1109/TGRS.2018.2869723},
  url     = {https://doi.org/10.1109/TGRS.2018.2869723}
}

@article{polk2023,
  author  = {Polk, Sam L. and Cui, Kangning and Chan, Aland H. Y. and
             Coomes, David A. and Plemmons, Robert J. and Murphy, James M.},
  title   = {Unsupervised Diffusion and Volume Maximization-Based
             Clustering of Hyperspectral Images},
  journal = {Remote Sensing},
  year    = {2023},
  volume  = {15},
  number  = {4},
  pages   = {1053},
  doi     = {10.3390/rs15041053},
  url     = {https://doi.org/10.3390/rs15041053}
}

@article{cui2024,
  author  = {Cui, Kangning and Li, Ruoning and Polk, Sam L. and Lin, Yinyi and
             Zhang, Hongsheng and Murphy, James M. and Plemmons, Robert J. and
             Chan, Raymond H.},
  title   = {Superpixel-Based and Spatially Regularized Diffusion Learning
             for Unsupervised Hyperspectral Image Clustering},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year    = {2024},
  volume  = {62},
  pages   = {1--18},
  note    = {Art. no. 4405818},
  doi     = {10.1109/TGRS.2024.3385202},
  url     = {https://doi.org/10.1109/TGRS.2024.3385202}
}

@article{guan2024,
  author  = {Guan, Renxiang and Tu, Wenxuan and Li, Zihao and Yu, Hao and
             Hu, Dayu and Chen, Yuzeng and Tang, Chang and Yuan, Qiangqiang and
             Liu, Xinwang},
  title   = {Spatial--Spectral Graph Contrastive Clustering With Hard
             Sample Mining for Hyperspectral Images},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year    = {2024},
  volume  = {62},
  pages   = {1--16},
  note    = {Art. no. 5535216},
  doi     = {10.1109/TGRS.2024.3464648},
  url     = {https://doi.org/10.1109/TGRS.2024.3464648}
}

%==============================================================================
% Graph, diffusion and mode-seeking foundations
%==============================================================================

@article{cheng1995,
  author  = {Cheng, Yizong},
  title   = {Mean Shift, Mode Seeking, and Clustering},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year    = {1995},
  volume  = {17},
  number  = {8},
  pages   = {790--799},
  doi     = {10.1109/34.400568},
  url     = {https://doi.org/10.1109/34.400568}
}

@article{comaniciu2002,
  author  = {Comaniciu, Dorin and Meer, Peter},
  title   = {Mean Shift: A Robust Approach Toward Feature Space Analysis},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year    = {2002},
  volume  = {24},
  number  = {5},
  pages   = {603--619},
  doi     = {10.1109/34.1000236},
  url     = {https://doi.org/10.1109/34.1000236}
}

@article{vonluxburg2007,
  author  = {von Luxburg, Ulrike},
  title   = {A Tutorial on Spectral Clustering},
  journal = {Statistics and Computing},
  year    = {2007},
  volume  = {17},
  number  = {4},
  pages   = {395--416},
  doi     = {10.1007/s11222-007-9033-z},
  url     = {https://doi.org/10.1007/s11222-007-9033-z}
}

@article{coifman2006,
  author  = {Coifman, Ronald R. and Lafon, St{\'e}phane},
  title   = {Diffusion Maps},
  journal = {Applied and Computational Harmonic Analysis},
  year    = {2006},
  volume  = {21},
  number  = {1},
  pages   = {5--30},
  doi     = {10.1016/j.acha.2006.04.006},
  url     = {https://doi.org/10.1016/j.acha.2006.04.006}
}

@article{rodriguez2014,
  author  = {Rodriguez, Alex and Laio, Alessandro},
  title   = {Clustering by Fast Search and Find of Density Peaks},
  journal = {Science},
  year    = {2014},
  volume  = {344},
  number  = {6191},
  pages   = {1492--1496},
  doi     = {10.1126/science.1242072},
  url     = {https://doi.org/10.1126/science.1242072}
}

@article{hennig2015,
  author  = {Hennig, Christian},
  title   = {What Are the True Clusters?},
  journal = {Pattern Recognition Letters},
  year    = {2015},
  volume  = {64},
  pages   = {53--62},
  doi     = {10.1016/j.patrec.2015.04.009},
  url     = {https://doi.org/10.1016/j.patrec.2015.04.009}
}

%==============================================================================
% Class-count-free comparison methods
%==============================================================================

@inproceedings{campello2013,
  author    = {Campello, Ricardo J. G. B. and Moulavi, Davoud and
               Sander, J{\"o}rg},
  title     = {Density-Based Clustering Based on Hierarchical Density Estimates},
  booktitle = {Advances in Knowledge Discovery and Data Mining},
  series    = {Lecture Notes in Computer Science},
  volume    = {7819},
  pages     = {160--172},
  publisher = {Springer},
  year      = {2013},
  doi       = {10.1007/978-3-642-37456-2_14},
  url       = {https://doi.org/10.1007/978-3-642-37456-2_14}
}

@article{traag2019,
  author  = {Traag, Vincent A. and Waltman, Ludo and van Eck, Nees Jan},
  title   = {From Louvain to Leiden: Guaranteeing Well-Connected Communities},
  journal = {Scientific Reports},
  year    = {2019},
  volume  = {9},
  pages   = {5233},
  doi     = {10.1038/s41598-019-41695-z},
  url     = {https://doi.org/10.1038/s41598-019-41695-z}
}

%==============================================================================
% Clustering evaluation and statistical testing
%==============================================================================

@article{hubert1985,
  author  = {Hubert, Lawrence and Arabie, Phipps},
  title   = {Comparing Partitions},
  journal = {Journal of Classification},
  year    = {1985},
  volume  = {2},
  number  = {1},
  pages   = {193--218},
  doi     = {10.1007/BF01908075},
  url     = {https://doi.org/10.1007/BF01908075}
}

@article{vinh2010,
  author  = {Vinh, Nguyen Xuan and Epps, Julien and Bailey, James},
  title   = {Information Theoretic Measures for Clusterings Comparison:
             Variants, Properties, Normalization and Correction for Chance},
  journal = {Journal of Machine Learning Research},
  year    = {2010},
  volume  = {11},
  pages   = {2837--2854},
  url     = {https://www.jmlr.org/papers/v11/vinh10a.html}
}

@article{holm1979,
  author  = {Holm, Sture},
  title   = {A Simple Sequentially Rejective Multiple Test Procedure},
  journal = {Scandinavian Journal of Statistics},
  year    = {1979},
  volume  = {6},
  number  = {2},
  pages   = {65--70},
  url     = {https://www.jstor.org/stable/4615733}
}

%==============================================================================
% Dataset source
%==============================================================================

@article{zhong2020,
  author  = {Zhong, Yanfei and Hu, Xin and Luo, Chang and Wang, Xinyu and
             Zhao, J. and Zhang, Liangpei},
  title   = {{WHU-Hi}: {UAV}-Borne Hyperspectral With High Spatial Resolution
             ({H2}) Benchmark Datasets and Classifier for Precise Crop
             Identification Based on Deep Convolutional Neural Network
             With {CRF}},
  journal = {Remote Sensing of Environment},
  year    = {2020},
  volume  = {250},
  pages   = {112012},
  doi     = {10.1016/j.rse.2020.112012},
  url     = {https://doi.org/10.1016/j.rse.2020.112012}
}

@misc{gic_hsi_scenes,
  author       = {{Grupo de Inteligencia Computacional}},
  title        = {Hyperspectral Remote Sensing Scenes},
  howpublished = {University of the Basque Country},
  year         = {2021},
  url          = {https://www.ehu.eus/ccwintco/index.php/Hyperspectral_Remote_Sensing_Scenes},
  note         = {Accessed 30 July 2026}
}

@article{ghamisi2017,
  author  = {Ghamisi, Pedram and H{\"o}fle, Bernhard and Zhu, Xiao Xiang},
  title   = {Hyperspectral and {LiDAR} Data Fusion Using Extinction
             Profiles and Deep Convolutional Neural Network},
  journal = {IEEE Journal of Selected Topics in Applied Earth Observations
             and Remote Sensing},
  year    = {2017},
  volume  = {10},
  number  = {6},
  pages   = {3011--3024},
  doi     = {10.1109/JSTARS.2016.2634863},
  url     = {https://doi.org/10.1109/JSTARS.2016.2634863}
}

@article{jolliffe2016,
  author  = {Jolliffe, Ian T. and Cadima, Jorge},
  title   = {Principal Component Analysis: A Review and Recent Developments},
  journal = {Philosophical Transactions of the Royal Society A:
             Mathematical, Physical and Engineering Sciences},
  year    = {2016},
  volume  = {374},
  number  = {2065},
  pages   = {20150202},
  doi     = {10.1098/rsta.2015.0202},
  url     = {https://doi.org/10.1098/rsta.2015.0202}
}
@article{lloyd1982,
  author  = {Lloyd, Stuart P.},
  title   = {Least Squares Quantization in {PCM}},
  journal = {IEEE Transactions on Information Theory},
  year    = {1982},
  volume  = {28},
  number  = {2},
  pages   = {129--137},
  doi     = {10.1109/TIT.1982.1056489},
  url     = {https://doi.org/10.1109/TIT.1982.1056489}
}

@inproceedings{sculley2010,
  author    = {Sculley, David},
  title     = {Web-Scale \(k\)-Means Clustering},
  booktitle = {Proceedings of the 19th International Conference on
               World Wide Web},
  year      = {2010},
  pages     = {1177--1178},
  publisher = {ACM},
  doi       = {10.1145/1772690.1772862},
  url       = {https://doi.org/10.1145/1772690.1772862}
}

@article{bezdek1984,
  author  = {Bezdek, James C. and Ehrlich, Robert and Full, William},
  title   = {{FCM}: The Fuzzy \(c\)-Means Clustering Algorithm},
  journal = {Computers \& Geosciences},
  year    = {1984},
  volume  = {10},
  number  = {2--3},
  pages   = {191--203},
  doi     = {10.1016/0098-3004(84)90020-7},
  url     = {https://doi.org/10.1016/0098-3004(84)90020-7}
}

@article{achanta2012,
  author  = {Achanta, Radhakrishna and Shaji, Appu and Smith, Kevin and
             Lucchi, Aurelien and Fua, Pascal and S{\"u}sstrunk, Sabine},
  title   = {{SLIC} Superpixels Compared to State-of-the-Art
             Superpixel Methods},
  journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
  year    = {2012},
  volume  = {34},
  number  = {11},
  pages   = {2274--2282},
  doi     = {10.1109/TPAMI.2012.120},
  url     = {https://doi.org/10.1109/TPAMI.2012.120}
}

@article{munkres1957,
  author  = {Munkres, James},
  title   = {Algorithms for the Assignment and Transportation Problems},
  journal = {Journal of the Society for Industrial and Applied Mathematics},
  year    = {1957},
  volume  = {5},
  number  = {1},
  pages   = {32--38},
  doi     = {10.1137/0105003},
  url     = {https://doi.org/10.1137/0105003}
}

@article{friedman1937,
  author  = {Friedman, Milton},
  title   = {The Use of Ranks to Avoid the Assumption of Normality
             Implicit in the Analysis of Variance},
  journal = {Journal of the American Statistical Association},
  year    = {1937},
  volume  = {32},
  number  = {200},
  pages   = {675--701},
  doi     = {10.1080/01621459.1937.10503522},
  url     = {https://doi.org/10.1080/01621459.1937.10503522}
}

@article{wilcoxon1945,
  author  = {Wilcoxon, Frank},
  title   = {Individual Comparisons by Ranking Methods},
  journal = {Biometrics Bulletin},
  year    = {1945},
  volume  = {1},
  number  = {6},
  pages   = {80--83},
  doi     = {10.2307/3001968},
  url     = {https://doi.org/10.2307/3001968}
}

@book{lahiri2003,
  author    = {Lahiri, Soumendra Nath},
  title     = {Resampling Methods for Dependent Data},
  publisher = {Springer},
  address   = {New York},
  year      = {2003},
  doi       = {10.1007/978-1-4757-3803-2},
  url       = {https://doi.org/10.1007/978-1-4757-3803-2}
}

% Add these entries to your existing references.bib

@article{ding2025slcgc,
  author  = {Ding, Yao and Zhang, Zhili and Yang, Aitao and Cai, Yaoming and Xiao, Xiongwu and Hong, Danfeng and Yuan, Junsong},
  title   = {SLCGC: A Lightweight Self-Supervised Low-Pass Contrastive Graph Clustering Network for Hyperspectral Images},
  journal = {IEEE Transactions on Multimedia},
  volume  = {27},
  pages   = {8251--8262},
  year    = {2025},
  doi     = {10.1109/TMM.2025.3604954}
}

@article{yao2025hypergraph,
  author  = {Yao, Yuxuan and Peng, Bo and Qin, Tianyi and Gu, Yanfeng and Ling, Nam and Lei, Jianjun},
  title   = {Hypergraph Contrastive Learning for Large-Scale Hyperspectral Image Clustering},
  journal = {IEEE Transactions on Circuits and Systems for Video Technology},
  volume  = {35},
  number  = {7},
  pages   = {7090--7100},
  year    = {2025},
  doi     = {10.1109/TCSVT.2025.3535930}
}

@article{qin2025evolving,
  author  = {Qin, Yao and Xia, Guisong and Li, Kun and Ye, Yuanxin and Ni, Weiping},
  title   = {Evolving Superpixel-Level Affinity Based on Contrastive Learning and Good Neighbors for Hyperspectral Image Clustering},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  volume  = {142},
  pages   = {104501},
  year    = {2025},
  doi     = {10.1016/j.jag.2025.104501}
}

@article{li2025multianchor,
  author  = {Li, Yihong and Wang, Ting and Cao, Zhe and Xin, Haonan and Wang, Rong},
  title   = {Efficient Unsupervised Clustering of Hyperspectral Images via Flexible Multi-Anchor Graphs},
  journal = {Remote Sensing},
  volume  = {17},
  number  = {15},
  pages   = {2647},
  year    = {2025},
  doi     = {10.3390/rs17152647}
}

@article{liang2026dsgc,
  author  = {Liang, Feng and Ding, Yao and Zhang, Zhili and Cai, Yaoming and
             Feng, Jie and Liang, Lianhui and Cheng, Shuli},
  title   = {DSGC: Dynamic Sparse Graph Constrained Autoencoder for
             Hyperspectral Image Clustering},
  journal = {IEEE Transactions on Geoscience and Remote Sensing},
  year    = {2026},
  volume  = {64},
  note    = {Art. no. 5519012},
  doi     = {10.1109/TGRS.2026.3705157},
  url     = {https://doi.org/10.1109/TGRS.2026.3705157}
}