forked from scikit-tda/kepler-mapper
-
Notifications
You must be signed in to change notification settings - Fork 0
/
paper.bib
115 lines (106 loc) · 4.64 KB
/
paper.bib
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
@article{Lumetal2013,
author = {Lum, Pek Y. and Singh, Gurjeet and Lehman, Alan and
Ishkanov, Tigran and Vejdemo-Johansson, Mikael. and
Alagappan, Muthi and Carlsson, John G. and Carlsson,
Gunnar},
title = {Extracting insights from the shape of complex data using topology},
volume = {3},
number = {1236},
pages = {},
year = {2013},
doi = {10.1038/srep01236},
journal = {Scientific Reports}
}
@inproceedings{Singh2007,
author = {Gurjeet Singh and Facundo Memoli and Gunnar Carlsson},
title = {{Topological Methods for the Analysis of High Dimensional
Data Sets and 3D Object Recognition}},
booktitle = {Proceedings of the Symposium on Point Based Graphics},
pages = {91-100},
year = {2007},
DOI = {10.2312/SPBG/SPBG07/091-100},
editor = {M. Botsch and R. Pajarola and B. Chen and M. Zwicker},
isbn = {978-3-905673-51-7},
issn = {1811-7813},
address = {Prague, Czech Republic},
publisher = {Eurographics Association},
abstract = {We present a computational method for extracting simple
descriptions of high dimensional data sets in the
form of simplicial complexes. Our method, called
Mapper, is based on the idea of partial clustering
of the data guided by a set of functions defined on
the data. The proposed method is not dependent on
any particular clustering algorithm, i.e. any
clustering algorithm may be used with Mapper. We
implement this method and present a few sample
applications in which simple descriptions of the
data present important information about its
structure.}
}
@article{scikit-learn,
title={Scikit-learn: Machine Learning in {P}ython},
author={Pedregosa, F. and Varoquaux, G. and Gramfort, A. and Michel, V.
and Thirion, B. and Grisel, O. and Blondel, M. and Prettenhofer, P.
and Weiss, R. and Dubourg, V. and Vanderplas, J. and Passos, A. and
Cournapeau, D. and Brucher, M. and Perrot, M. and Duchesnay, E.},
journal={Journal of Machine Learning Research},
volume={12},
pages={2825--2830},
year={2011}
}
@book{edelsbrunner2010computational,
title={Computational topology: an introduction},
author={Edelsbrunner, Herbert and Harer, John},
year={2010},
publisher={American Mathematical Soc.},
DOI={10.1007/978-3-540-33259-6_7}
}
@article{carlsson2009topology,
title={Topology and data},
author={Carlsson, Gunnar},
journal={Bulletin of the American Mathematical Society},
volume={46},
number={2},
pages={255--308},
year={2009},
doi={10.1090/S0273-0979-09-01249-X}
}
@misc{Dua:2019,
author = "Dua, Dheeru and Graff, Casey",
year = "2017",
title = "{UCI} Machine Learning Repository",
url = "http://archive.ics.uci.edu/ml",
institution = "University of California, Irvine, School of Information and Computer Sciences"
}
@Article{Hunter:2007,
Author = {Hunter, J. D.},
Title = {Matplotlib: A 2D graphics environment},
Journal = {Computing in Science \& Engineering},
Volume = {9},
Number = {3},
Pages = {90--95},
abstract = {Matplotlib is a 2D graphics package used for Python for
application development, interactive scripting, and publication-quality
image generation across user interfaces and operating systems.},
publisher = {IEEE COMPUTER SOC},
doi = {10.1109/MCSE.2007.55},
year = 2007
}
@InProceedings{SciPyProceedings_11,
author = {Aric A. Hagberg and Daniel A. Schult and Pieter J. Swart},
title = {Exploring Network Structure, Dynamics, and Function using NetworkX},
booktitle = {Proceedings of the 7th Python in Science Conference},
pages = {11 - 15},
address = {Pasadena, CA USA},
editor = {Ga\"el Varoquaux and Travis Vaught and Jarrod Millman},
year = {2008},
}
@online{plotly, author = {{Plotly Technologies Inc.}}, title = {Collaborative data science}, publisher = {Plotly Technologies Inc.}, address = {Montreal, QC}, year = {2015}, url = {https://plot.ly} }
@conference{Kluyver:2016aa,
Author = {Thomas Kluyver and Benjamin Ragan-Kelley and Fernando P{\'e}rez and Brian Granger and Matthias Bussonnier and Jonathan Frederic and Kyle Kelley and Jessica Hamrick and Jason Grout and Sylvain Corlay and Paul Ivanov and Dami{\'a}n Avila and Safia Abdalla and Carol Willing},
Booktitle = {Positioning and Power in Academic Publishing: Players, Agents and Agendas},
Editor = {F. Loizides and B. Schmidt},
Organization = {IOS Press},
Pages = {87 - 90},
Title = {Jupyter Notebooks -- a publishing format for reproducible computational workflows},
Year = {2016}}