434 search results - page 61 / 87 » Dimensionality Reduction of Clustered Data Sets |
MICCAI
2005
Springer
14 years 9 months ago
2005
Springer
In this paper, we propose a new approach to detect activated time series in functional MRI using support vector clustering (SVC). We extract Fourier coefficients as the features of...
JMLR
2006
13 years 8 months ago
2006
Dimensionality reduction is an important pre-processing step in many applications. Linear discriminant analysis (LDA) is a classical statistical approach for supervised dimensiona...
NIPS
1997
13 years 10 months ago
1997
I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large col...
IPPS
2003
IEEE
14 years 2 months ago
2003
IEEE
The pre-computation of data cubes is critical to improving the response time of On-Line Analytical Processing (OLAP) systems and can be instrumental in accelerating data mining tas...
PAKDD
1998
ACM
14 years 28 days ago
1998
ACM
The use of Data Mining in removing current bottlenecks within Case-based Reasoning (CBR) systems is investigated along with the possible role of CBR in providing a knowledge manag...