Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Tuan Nhon Dang"'
Publikováno v:
BMC Proceedings. 8/13/2015, Vol. 9 Issue 7 Supp, p1-18. 18p.
Publikováno v:
BMC Proceedings. 8/13/2015, Vol. 9 Issue 7 Supp, p1-13. 13p.
Publikováno v:
ACM Transactions on Knowledge Discovery from Data. 6:1-18
In Wilkinson et al. [2011] we introduced a new set-covering random projection classifier that achieved average error lower than that of other classifiers in the Weka platform. This classifier was based on an L ∞ norm distance function and exploited
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 16:1044-1052
An ongoing challenge for information visualization is how to deal with over-plotting forced by ties or the relatively limited visual field of display devices. A popular solution is to represent local data density with area (bubble plots, treemaps), c
Autor:
Tuan Nhon Dang, Leland Wilkinson
Publikováno v:
IEEE transactions on visualization and computer graphics. 20(12)
Scagnostics (Scatterplot Diagnostics) were developed by Wilkinson et al. based on an idea of Paul and John Tukey, in order to discern meaningful patterns in large collections of scatterplots. The Tukeys' original idea was intended to overcome the imp
Autor:
Leland Wilkinson, Tuan Nhon Dang
Publikováno v:
PacificVis
A scatter plot displays a relation between a pair of variables. Given a set of v variables, there are v(v- 1)/2 pairs of variables, and thus the same number of possible pair wise scatter plots. Therefore for even small sets of variables, the number o
Autor:
Tuan Nhon Dang, Leland Wilkinson
Publikováno v:
Advances in Visual Computing ISBN: 9783319143637
ISVC (2)
ISVC (2)
Searching and mining huge image databases has become a daunting task for many application areas such as astronomy, medicine, geology, oceanography, and crime prevention. We introduce a new image indexing and retrieval system, PixSearcher, that comput
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863df9b195254028838f14c3a2221f99
https://doi.org/10.1007/978-3-319-14364-4_70
https://doi.org/10.1007/978-3-319-14364-4_70
Publikováno v:
IEEE transactions on visualization and computer graphics. 19(3)
We introduce a method (Scagnostic time series) and an application (TimeSeer) for organizing multivariate time series and for guiding interactive exploration through high-dimensional data. The method is based on nine characterizations of the 2D distri
Autor:
Leland Wilkinson, Tuan Nhon Dang
Publikováno v:
Advances in Visual Computing ISBN: 9783642419133
ISVC (1)
ISVC (1)
The analysis of different time series is an important activity in many areas of science and engineering. In this paper, we introduce a new method feature extraction for time series and an application TimeExplorer for similarity-based time series quer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9c2f04e6aecc0a7a92d813578ae24bc
https://doi.org/10.1007/978-3-642-41914-0_28
https://doi.org/10.1007/978-3-642-41914-0_28
Publikováno v:
IEEE VAST
An essential element of exploratory data analysis is the use of revealing low-dimensional projections of high-dimensional data. Projection Pursuit has been an effective method for finding interesting low-dimensional projections of multidimensional sp