217 search results - page 9 / 44 » Searching in metric spaces with user-defined and approximate... |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
Let R be a set of objects. An object o R is an outlier, if there exist less than k objects in R whose distances to o are at most r. The values of k, r, and the distance metric ar...
STACS
2007
Springer
14 years 1 months ago
2007
Springer
The min-sum k-clustering problem is to partition a metric space (P, d) into k clusters C1, . . . , Ck ⊆ P such that k i=1 p,q∈Ci d(p, q) is minimized. We show the first effi...
COMPGEOM
2011
ACM
12 years 11 months ago
2011
ACM
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
STOC
2002
ACM
14 years 8 months ago
2002
ACM
Most research on nearest neighbor algorithms in the literature has been focused on the Euclidean case. In many practical search problems however, the underlying metric is non-Eucl...
SPIRE
1998
Springer
13 years 11 months ago
1998
Springer
A successful technique to search large textual databases allowing errors relies on an online search in the vocabulary of the text. To reduce the time of that online search, we ind...