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@misc{UCL_Data,
author = "M. Lichman",
year = "2013",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences" }
@phdthesis{Antartica_Data,
title={An Algorithmic Framework for Visualising and Exploring Multidimensional Data},
author={Ross, Greg},
year={2005}}
@phdthesis{LastYear,
title={Fast force-directed layout algorithms for the D3 visualisation toolkit},
author={Bartasius, Remigijus},
year={2017}}
@inproceedings{Algo1996,
author = {Chalmers, Matthew},
title = {A Linear Iteration Time Layout Algorithm for Visualising High-dimensional Data},
booktitle = {Proceedings of the 7th Conference on Visualization '96},
series = {VIS '96},
year = {1996},
isbn = {0-89791-864-9},
location = {San Francisco, California, USA},
pages = {127--ff.},
url = {http://dl.acm.org/citation.cfm?id=244979.245035},
acmid = {245035},
publisher = {IEEE Computer Society Press},
address = {Los Alamitos, CA, USA},
keywords = {force-directed placement, high-dimensional data, layout algorithms, spring models, stochastic algorithms, visualization},
}
@inproceedings{Algo2002,
author = {Morrison, Alistair and Ross, Greg and Chalmers, Matthew},
title = {A Hybrid Layout Algorithm for Sub-Quadratic Multidimensional Scaling},
booktitle = {Proceedings of the IEEE Symposium on Information Visualization (InfoVis'02)},
series = {INFOVIS '02},
year = {2002},
isbn = {0-7695-1751-X},
pages = {152--},
url = {http://dl.acm.org/citation.cfm?id=857191.857738},
acmid = {857738},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
}
@inproceedings{Algo2003,
author = {Morrison, Alistair and Chalmers, Matthew},
title = {Improving Hybrid MDS with Pivot-based Searching},
booktitle = {Proceedings of the Ninth Annual IEEE Conference on Information Visualization},
series = {INFOVIS'03},
year = {2003},
isbn = {0-7803-8154-8},
location = {Seattle, Washington},
pages = {85--90},
numpages = {6},
url = {http://dl.acm.org/citation.cfm?id=1947368.1947387},
acmid = {1947387},
publisher = {IEEE Computer Society},
address = {Washington, DC, USA},
keywords = {MDS, force directed placement, hybrid algorithms, multidimensional scaling, near-neighbour search, pivots, spring models},
}
@misc{PapaParse,
title={Papa Parse},
url={https://www.papaparse.com/}
}
@book{CleanCode,
title={Clean code: a handbook of agile software craftsmanship}, publisher={Prentice Hall}, author={Martin, Robert C. and Coplien, James O. and Wampler, Kevin and Grenning, James W. and Schuchert, Brett L. and Langr, Jeff and Ottinger, Timothy R. and Feathers, Michael C.}, year={2016}}
@misc{MDNWebWorker,
title={Using Web Workers}, url={https://developer.mozilla.org/en-US/docs/Web/API/Web_Workers_API/Using_web_workers}, journal={Mozilla Developer Network}}
@misc{WebCL,
title={WebCL - Heterogeneous parallel computing in HTML5 web browsers}, url={https://www.khronos.org/webcl/}, journal={The Khronos Group}, year={2011}, month={Jul}}
@misc{asmjsSpeed,
title={asm.js Speedups Everywhere}, url={https://hacks.mozilla.org/2015/03/asm-speedups-everywhere/}, journal={Mozilla Hacks the Web developer blog}, author={Zakai, Alon and Wagner, Luke}, year={2015}, month={Mar}}
@misc{asmjs, title={Big Web App? Compile It!}, url={http://kripken.github.io/mloc_emscripten_talk}, publisher={Mozilla}, author={Zakai, Alon}}
@misc{gpujs,
title={gpujs/gpu.js}, url={https://github.com/gpujs/gpu.js}, journal={GitHub}, year={2016}, month={Jan}}
@misc{WebGL2,
title={WebGL 2.0 Arrives}, url={https://www.khronos.org/blog/webgl-2.0-arrives}, journal={Khronos Group}, year={2017}, month={Feb}}
@misc{WebAssembly, title={WebAssembly}, url={http://webassembly.org/}, journal={WebAssembly}}
@ARTICLE{LSH,
author = {{Andoni}, A. and {Razenshteyn}, I.},
title = "{Optimal Data-Dependent Hashing for Approximate Near Neighbors}",
journal = {ArXiv e-prints},
archivePrefix = "arXiv",
eprint = {1501.01062},
primaryClass = "cs.DS",
keywords = {Computer Science - Data Structures and Algorithms},
year = 2015,
month = jan,
adsurl = {http://adsabs.harvard.edu/abs/2015arXiv150101062A},
}