766 search results - page 28 / 154 » Clustering high dimensional data using subspace and projecte... |
AAAI
2006
13 years 10 months ago
2006
Among various feature extraction algorithms, those based on genetic algorithms are promising owing to their potential parallelizability and possible applications in large scale an...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Correlation clustering aims at grouping the data set into correlation clusters such that the objects in the same cluster exhibit a certain density and are all associated to a comm...
ICMLA
2008
13 years 10 months ago
2008
In this paper we describe an interdisciplinary collaboration between researchers in machine learning and oceanography. The collaboration was formed to study the problem of open oc...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Order-preserving submatrixes (OPSMs) have been accepted as a biologically meaningful subspace cluster model, capturing the general tendency of gene expressions across a subset of ...
CORR
2006
Springer
13 years 8 months ago
2006
Springer
While there is a very long tradition of approximating a data array by projecting row or column vectors into a lower dimensional subspace the direct approximation of a data matrix ...