28 search results - page 2 / 6 » Analysis of Minimum Distances in High-Dimensional Musical Sp... |
CCGRID
2010
IEEE
13 years 6 months ago
2010
IEEE
Abstract--Large high dimension datasets are of growing importance in many fields and it is important to be able to visualize them for understanding the results of data mining appro...
ICDM
2002
IEEE
13 years 10 months ago
2002
IEEE
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
SIGMOD
2001
ACM
14 years 5 months ago
2001
ACM
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
ICDM
2008
IEEE
13 years 12 months ago
2008
IEEE
We present a new visualization of the distance and cluster structure of high dimensional data. It is particularly well suited for analysis tasks of users unfamiliar with complex d...
CVPR
2012
IEEE
11 years 8 months ago
2012
IEEE
We introduce a framework for defining a distance on the (non-Euclidean) space of Linear Dynamical Systems (LDSs). The proposed distance is induced by the action of the group of o...