2007

GarcíaOsorio, César; Fyfe, Colin Successes and New Directions in Data Mining Book Chapter In: Chapter Visualizing Multi Dimensional Data, pp. 236–276, Idea Group Inc., 2007, ISBN: 1599046458. Links  BibTeX  Tags: Andrews curves, Data Mining, Data visualization, Exploratory data analysis @inbook{DataMiningSucesses2007,
title = {Successes and New Directions in Data Mining},
author = {César GarcíaOsorio and Colin Fyfe},
url = {http://books.google.es/books?id=VCZrtbjTRp8C&pg=PA147&ots=Ap4Si7ucUU&dq=Success+and+New+Directions+in+Data+Mining&sig=v34qqba2rihMBHTnyxGGLXGaI#PPP1,M1},
doi = {10.3217/jucs011111806},
isbn = {1599046458},
year = {2007},
date = {20070101},
pages = {236276},
publisher = {Idea Group Inc.},
chapter = {Visualizing Multi Dimensional Data},
keywords = {Andrews curves, Data Mining, Data visualization, Exploratory data analysis},
pubstate = {published},
tppubtype = {inbook}
}

GarcíaOsorio, César; BenitoEsteban, J L; Maudes, Jesús; Rodríguez, Juan José Adding Interactivity to Andrews Curves and Extensions Inproceedings In: Villanueva, J J (Ed.): Visualization, Imaging, and Image Processing (VIIP 2007), pp. 118–122, ACTA Press, Palma de Mallorca, 2007, ISBN: 9780889866911. Links  BibTeX  Tags: Andrews curves, Data Mining, Data visualization, Exploratory data analysis @inproceedings{VIIP2007,
title = {Adding Interactivity to Andrews Curves and Extensions},
author = {César GarcíaOsorio and J L BenitoEsteban and Jesús Maudes and Juan José Rodríguez},
editor = {J J Villanueva},
url = {http://www.actapress.com/Abstract.aspx?paperId=31544},
isbn = {9780889866911},
year = {2007},
date = {20070001},
booktitle = {Visualization, Imaging, and Image Processing (VIIP 2007)},
pages = {118122},
publisher = {ACTA Press},
address = {Palma de Mallorca},
keywords = {Andrews curves, Data Mining, Data visualization, Exploratory data analysis},
pubstate = {published},
tppubtype = {inproceedings}
}

2005

GarcíaOsorio, César Data Mining and Visualization PhD Thesis School of Computing, Paisley University, 2005. BibTeX  Tags: Andrews curves, Data Mining, Data visualization, Neural networks, Self organizing maps @phdthesis{cgosorio05thesis,
title = {Data Mining and Visualization},
author = {César GarcíaOsorio},
year = {2005},
date = {20050501},
address = {High Street, Paisley, Strathclyde, PA1 2BE, United Kingdon},
school = {School of Computing, Paisley University},
keywords = {Andrews curves, Data Mining, Data visualization, Neural networks, Self organizing maps},
pubstate = {published},
tppubtype = {phdthesis}
}

GarcíaOsorio, César; Fyfe, Colin The Combined Use of Selforganizing Maps and Andrews' Curves Journal Article In: International Journal of Neural Systems, 15 (3), pp. 110, 2005, ISSN: 01290657. Links  BibTeX  Tags: Andrews curves, Data Mining, Data visualization, Neural networks, Self organizing maps @article{cgosorio05AndrewsSOM,
title = {The Combined Use of Selforganizing Maps and Andrews' Curves},
author = {César GarcíaOsorio and Colin Fyfe},
doi = {10.1142/S0129065705000207},
issn = {01290657},
year = {2005},
date = {20050101},
journal = {International Journal of Neural Systems},
volume = {15},
number = {3},
pages = {110},
keywords = {Andrews curves, Data Mining, Data visualization, Neural networks, Self organizing maps},
pubstate = {published},
tppubtype = {article}
}

GarcíaOsorio, César Data Mining and Visualization Technical Report Paisley University High Street, Paisley, Strathclyde, PA1 2BE, United Kingdon, (30), 2005. Links  BibTeX  Tags: Andrews curves, Data Mining, Data visualization, Neural networks, Self organizing maps @techreport{cgosorio05TR,
title = {Data Mining and Visualization},
author = {César GarcíaOsorio},
url = {http://cis.paisley.ac.uk/research/reports/tr30.zip},
year = {2005},
date = {20050101},
number = {30},
address = {High Street, Paisley, Strathclyde, PA1 2BE, United Kingdon},
institution = {Paisley University},
keywords = {Andrews curves, Data Mining, Data visualization, Neural networks, Self organizing maps},
pubstate = {published},
tppubtype = {techreport}
}

GarcíaOsorio, César; Fyfe, Colin Visualization of HighDimensional Data via Orthogonal Curves Journal Article In: Journal of Universal Computer Science, 11 (11), pp. 1806–1819, 2005, ISSN: 0948695x. Abstract  Links  BibTeX  Tags: Andrews curves, Data Mining, Exploratory data analysis, Grand tour methods, Visual clustering @article{cgosorio05curves,
title = {Visualization of HighDimensional Data via Orthogonal Curves},
author = {César GarcíaOsorio and Colin Fyfe},
url = {http://www.jucs.org/jucs_11_11/visualization_of_high_dimensional},
issn = {0948695x},
year = {2005},
date = {20050101},
journal = {Journal of Universal Computer Science},
volume = {11},
number = {11},
pages = {18061819},
abstract = {Computers are still much less useful than the ability of the human eye for pattern matching. This ability can be used quite straightforwardly to identify structure in a data set when it is two or three dimensional. With data sets with more than 3 dimensions some kind of transformation is always necessary. In this paper we review in depth and present and extension of one of these mechanisms: Andrews' curves. With the Andrews' curves we use a curve to represent each data point. A human can run his eye along a set of curves (representing the members of the data set) and identify particular regions of the curves which are optimal for identifying clusters in the data set. Of interest in this context, is our extension in which a moving threedimensional image is created in which we can see clouds of data points moving as we move along the curves; in a very real sense, the data which dance together are members of the same cluster.},
keywords = {Andrews curves, Data Mining, Exploratory data analysis, Grand tour methods, Visual clustering},
pubstate = {published},
tppubtype = {article}
}
Computers are still much less useful than the ability of the human eye for pattern matching. This ability can be used quite straightforwardly to identify structure in a data set when it is two or three dimensional. With data sets with more than 3 dimensions some kind of transformation is always necessary. In this paper we review in depth and present and extension of one of these mechanisms: Andrews' curves. With the Andrews' curves we use a curve to represent each data point. A human can run his eye along a set of curves (representing the members of the data set) and identify particular regions of the curves which are optimal for identifying clusters in the data set. Of interest in this context, is our extension in which a moving threedimensional image is created in which we can see clouds of data points moving as we move along the curves; in a very real sense, the data which dance together are members of the same cluster. 
2004

GarcíaOsorio, César; Fyfe, Colin An Extension of Grand Tour Methods Based on Andrews' Curves Inproceedings In: Villanueva, Juan J (Ed.): 4th Annual IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2004), pp. 109–114, Marbella, Spain, 2004, ISSN: 14827921. BibTeX  Tags: Andrews curves, Data analysis, Data Mining, Data visualization, Grand tour methods @inproceedings{cgosorio04andrewsGT,
title = {An Extension of Grand Tour Methods Based on Andrews' Curves},
author = {César GarcíaOsorio and Colin Fyfe},
editor = {Juan J Villanueva},
issn = {14827921},
year = {2004},
date = {20040901},
booktitle = {4th Annual IASTED International Conference on Visualization, Imaging, and Image Processing (VIIP 2004)},
pages = {109114},
address = {Marbella, Spain},
keywords = {Andrews curves, Data analysis, Data Mining, Data visualization, Grand tour methods},
pubstate = {published},
tppubtype = {inproceedings}
}

GarcíaOsorio, César; Raedo, Jesús Maudes; Fyfe, Colin Using Andrews' Curves for Clustering and SubClustering SelfOrganizing Maps Inproceedings In: Verleysen, Michel (Ed.): European Symposium on Artificial Neural Networks (ESANN 2004), pp. 477–482, dside publications, Bruges, Belgium, 2004, ISBN: 2930307048. BibTeX  Tags: Andrews curves, Clustering, Data Mining, Data visualization, Neural networks, Self organizing maps @inproceedings{cgosorio04withSOM,
title = {Using Andrews' Curves for Clustering and SubClustering SelfOrganizing Maps},
author = {César GarcíaOsorio and Jesús Maudes Raedo and Colin Fyfe},
editor = {Michel Verleysen},
isbn = {2930307048},
year = {2004},
date = {20040401},
booktitle = {European Symposium on Artificial Neural Networks (ESANN 2004)},
pages = {477482},
publisher = {dside publications},
address = {Bruges, Belgium},
keywords = {Andrews curves, Clustering, Data Mining, Data visualization, Neural networks, Self organizing maps},
pubstate = {published},
tppubtype = {inproceedings}
}

2003

GarcíaOsorio, César; Fyfe, Colin An Extension of Andrews Curves for Data Analysis Inproceedings In: Emergent Solutions for the Information and Knowledge Economy (X SIGEF Congress), pp. 123–134, 2003, ISBN: 849773069. BibTeX  Tags: Andrews curves, Data analysis, Data Mining, Data visualization @inproceedings{cgosorio03extensionAndrews,
title = {An Extension of Andrews Curves for Data Analysis},
author = {César GarcíaOsorio and Colin Fyfe},
isbn = {849773069},
year = {2003},
date = {20030101},
booktitle = {Emergent Solutions for the Information and Knowledge Economy (X SIGEF Congress)},
volume = {1},
pages = {123134},
keywords = {Andrews curves, Data analysis, Data Mining, Data visualization},
pubstate = {published},
tppubtype = {inproceedings}
}

GarcíaOsorio, César; Fyfe, Colin Visualisation in High Dimensional Feature Spaces Inproceedings In: International Workshop on Practical Applications of Agents and Multiagents Systems (IWPAAMS 2003), pp. 158–167, Valladolid (Spain), 2003, ISBN: 8468847208. BibTeX  Tags: Andrews curves, Data analysis, Data Mining, Data visualization @inproceedings{cgosorio03visualisation,
title = {Visualisation in High Dimensional Feature Spaces},
author = {César GarcíaOsorio and Colin Fyfe},
isbn = {8468847208},
year = {2003},
date = {20030101},
booktitle = {International Workshop on Practical Applications of Agents and Multiagents Systems (IWPAAMS 2003)},
pages = {158167},
address = {Valladolid (Spain)},
keywords = {Andrews curves, Data analysis, Data Mining, Data visualization},
pubstate = {published},
tppubtype = {inproceedings}
}
