474 search results - page 12 / 95 » Approximation Algorithms for Tensor Clustering |
MLDM
2010
Springer
13 years 2 months ago
2010
Springer
In this paper we study the k-means clustering problem. It is well-known that the general version of this problem is NP-hard. Numerous approximation algorithms have been proposed fo...
IPPS
2006
IEEE
14 years 1 months ago
2006
IEEE
This paper presents a technique for memory optimization for a class of computations that arises in the field of correlated electronic structure methods such as coupled cluster and...
ISVC
2010
Springer
13 years 6 months ago
2010
Springer
Interpolating diffusion tensor fields is a key technique to visualize the continuous behaviors of biological tissues such as nerves and muscle fibers. However, this has been stil...
PODS
2008
ACM
14 years 8 months ago
2008
ACM
There is an increasing quantity of data with uncertainty arising from applications such as sensor network measurements, record linkage, and as output of mining algorithms. This un...
COMGEO
2004
ACM
13 years 7 months ago
2004
ACM
In k-means clustering we are given a set of n data points in d-dimensional space d and an integer k, and the problem is to determine a set of k points in d , called centers, to mi...