671 search results - page 7 / 135 » Mean shift-based clustering |
TJS
2010
13 years 6 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
The mean shift algorithm, which is a nonparametric density
estimator for detecting the modes of a distribution on a
Euclidean space, was recently extended to operate on analytic
...
ACL
1993
13 years 9 months ago
1993
In this paper we present a method to group adjectives according to their meaning, as a first step towards the automatic identification of adjectival scales. We discuss the propert...
EUROPAR
1999
Springer
13 years 12 months ago
1999
Springer
This paper describes the realization of a parallel version of the k/h-means clustering algorithm. This is one of the basic algorithms used in a wide range of data mining tasks. We ...
ISAAC
2009
Springer
14 years 2 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...