Papers:

[17] D. McKenzie and S. B. Damelin, Power weighted shortest paths for clustering Euclidean data, arxiv 1905.13345, in Foundations of Data Science(American Institute of Mathematical Sciences), Volume 1 Issue 3 September 2019.

[16] Sung Jin Hwang, Steven B. Damelin, Alfred O. Hero III, Shortest Path through Random Points, The Annals of Applied Probability, 2016, Vol. 26, No. 5, pp 2791-2823.

[15] S. B. Damelin and N. Hoang, On surface completion and image inpainting by biharmonic functions: Numerical aspects, International Journal of Mathematics and Mathematical Sciences, vol. 2018. Link to article

Implementation in the scikit-image package.

[14] S. B. Damelin, Y. Gu, D. Wunsch and R. Xu, Fuzzy adaptive resonance theory, diffusion maps and their applications to clustering and bi clustering, Math.Model.Nat.Phenom. Vol. 10, No 3, 2015, pp. 206-211.

[13] Kerry Cawse, Steven B. Damelin, Amandine Robin, Michael Sears, A parameter free approach for determining the intrinsic dimension of a hyperspectral image using Random Matrix Theory, IEEE Transaction on Image Processing, 22(4)(2013), 1301-1310.

[12] S. B. Damelin, Y. Gu, D. Wunsch and R. Xu, Fuzzy adaptive resonance theory, diffusion maps and their applications to clustering and bi clustering, Math.Model.Nat.Phenom. Vol. 10, No 3, 2015, pp. 206-211.

[11] Cawse K, Sears M, Robin A, Damelin S, Wessels K, van den Bergh F, Mathieu R, Using random matrix theory to determine the number of endmembers in a hyperspectral image, WHISPERS 2010, June 14-16 2010, Reykjavik, Iceland.

[10] Louis du Plessis, Rui Xu, Steven Damelin, Michael Sears and Donald Wunsch, Reducing dimensionality of hyperspectral data with diffusion maps and clustering with K-means and fuzzy art, Int. J. Systems Control and Communications, (3) (2011), pp 232-251.

[9] Michael Mitchley, Michael Sears and Steven Damelin, Target detection I Hyperpectral mineral data using wavelet analysis, Proceedings of the 2009 IEEE Geosciences and Remote Sensing Symposium, Cape Town, pp 23-45.

[8] Louis du Plessis, Rui Xu, Steven Damelin, Michael Sears and Donald Wunsch, Reducing dimensionality of hyperspectral data with diffusion maps and clustering with K-means and fuzzy art, Proceedings of IJCNN 2009, pp 32-36.

[7] Kerry-Anne Cawse, Steven Damelin, Richard McIntyre, Michael Mitchley, Louis du Plessis and Michael Sears, An Investigation of data compression for Hyperspectral core image data, Proceedings of the Mathematics in Industry Study Group 2008, South Africa, 2008, pp. 1-25

[6] RuiXu, Steven Damelin, B. Nadler, and Donald C. Wunsch II, Clustering of High-Dimensional Gene Expression Data with Feature Filtering Methods and Diffusion Maps, in BioMedical Engineering and Informatics, 2008. BMEI 2008, vol 1, pp 245-249, IEEE 2008.

[5] S. B. Damelin, On Bounds for Diffusion, Discrepancy and Fill Distance Metrics, Springer Lecture Notes in Computational Science and Engineering, (2008) Vol. 58, pp 32-42.

[4] Raviv Raich, Jose A. Costa, Steven B. Damelin, Alfred O. Hero, Classification Constrained Dimensionality Reduction, arxiv 0802.2906.

[3] Rui Xu, Steven Damelin, and Donald C. Wunsch II, "Applications of diffusion maps in gene expression data-based cancer diagnosis analysis," In Proceedings of the 29th Annual International Conference of IEEE Engineering in Medicine and Biology Society, Lyon, France, pp. 4613-4616, August, 2007.

[2] Y. Ma, S. B. Damelin, O. Masoud and N. Papanikolopoulos, Activity Recognition via Classification Constrained Diffusion Maps, ISCV (International Symposium of Computer Vision), 2006, pp 1-8.

[1] L. H. Damelin, S. Volles, J. M. Whitcutt, S. B. Damelin, J. J. Alexander, Hormesis: A stress response in cells exposed to low levels of heavy metals, Human and Experimental Toxicology, Volume 19,7: (2000), pp 420-430.