apcluster: Affinity Propagation Clustering. The apcluster package implements Frey’s and Dueck’s Affinity Propagation clustering in R. The algorithms are largely analogous to the Matlab code published by Frey and Dueck. The package further provides leveraged affinity propagation and an algorithm for exemplar-based agglomerative clustering that can also be used to join clusters obtained from affinity propagation. Various plotting functions are available for analyzing clustering results.

References in zbMATH (referenced in 52 articles )

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  1. Shroff, Nitesh; Anirudh, Rushil; Chellappa, Rama: Summarization and search over geometric spaces (2016)
  2. Brusco, Michael J.; Steinley, Douglas: Affinity propagation and uncapacitated facility location problems (2015)
  3. Khalid, Shehzad; Razzaq, Shahid: TOBAE: a density-based agglomerative clustering algorithm (2015)
  4. Meng, Jun; Li, Rui; Luan, Yushi: Classification by integrating plant stress response gene expression data with biological knowledge (2015)
  5. Nellore, Abhinav; Ward, Rachel: Recovery guarantees for exemplar-based clustering (2015)
  6. Panagiotakis, Costas: Point clustering via voting maximization (2015)
  7. Cagnina, Leticia; Errecalde, Marcelo; Ingaramo, Diego; Rosso, Paolo: An efficient particle swarm optimization approach to cluster short texts (2014)
  8. Kong, W.W.; Ranganath, Surendra: Towards subject independent continuous sign language recognition: a segment and merge approach (2014)
  9. Li, Jia; Tian, Yonghong; Huang, Tiejun: Visual saliency with statistical priors (2014)
  10. Richarz, Jan; Vajda, Szilard; Grzeszick, Rene; Fink, Gernot A.: Semi-supervised learning for character recognition in historical archive documents (2014)
  11. Tzortzis, Grigorios; Likas, Aristidis: The MinMax $k$-Means clustering algorithm (2014)
  12. Zhang, Yongqin; Liu, Jiaying; Li, Mading; Guo, Zongming: Joint image denoising using adaptive principal component analysis and self-similarity (2014)
  13. Zhuang, Yi; Jiang, Nan; Wu, Zhiang; Li, Qing; Chiu, Dickson K.W.; Hu, Hua: Efficient and robust large medical image retrieval in mobile cloud computing environment (2014)
  14. Lipovetsky, Stan: Finding cluster centers and sizes via multinomial parameterization (2013)
  15. Rahim, Mehdi; Bellemare, Marc-Emmanuel; Bulot, Rémy; Pirró, Nicolas: A diffeomorphic mapping based characterization of temporal sequences: application to the pelvic organ dynamics assessment (2013)
  16. Xie, Jierui; Kelley, Stephen; Szymanski, Boleslaw K.: Overlapping community detection in networks, the state-of-the-art and comparative study (2013)
  17. Baldi, P.: Boolean autoencoders and hypercube clustering complexity (2012)
  18. Chatzilari, E.; Nikolopoulos, S.; Patras, I.; Kompatsiaris, I.: Leveraging social media for scalable object detection (2012)
  19. Khalid, Shehzad; Razzaq, Shahid: Frameworks for multivariate $m$-mediods based modeling and classification in Euclidean and general feature spaces (2012)
  20. Liu, Hairong; Yang, Xingwei; Latecki, Longin Jan; Yan, Shuicheng: Dense neighborhoods on affinity graph (2012)

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