13 search results - page 1 / 3 » 3D Grand Tour for Multidimensional Data and Clusters |
IDA
1999
Springer
13 years 9 months ago
1999
Springer
Grand tour is a method for viewing multidimensional data via linear projections onto a sequence of two dimensional subspaces and then moving continuously from one projection to the...
KDD
2000
ACM
13 years 8 months ago
2000
ACM
The grand tour, one of the most popular methods for multidimensional data exploration, is based on orthogonally projecting multidimensional data to a sequence of lower dimensional...
EGITALY
2006
13 years 6 months ago
2006
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
SBACPAD
2007
IEEE
13 years 11 months ago
2007
IEEE
Multi-dimensional imaging techniques involve the processing of high resolution images commonly used in medical, civil and remote-sensing applications. A barrier commonly encounter...