27 search results - page 1 / 6 » Outlier identification in high dimensions |
CSDA
2008
13 years 5 months ago
2008
A computationally fast procedure for identifying outliers is presented, that is particularly effective in high dimensions. This algorithm utilizes simple properties of principal c...
ICCSA
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. In this paper, an efficient speaker identification based on robust vector quantization principal component analysis (VQ-PCA) is proposed to solve the problems from outlie...
CCCG
2009
13 years 3 months ago
2009
We study the 1-center problem with outliers in highdimensional data streams. The problem definition is as follows: given a sequence of n points in d dimensions (with d arbitrarily...
ICDE
2012
IEEE
11 years 7 months ago
2012
IEEE
—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
SIGMOD
2001
ACM
14 years 5 months ago
2001
ACM
The outlier detection problem has important applications in the eld of fraud detection, network robustness analysis, and intrusion detection. Most such applications are high dimen...