671 search results - page 7 / 135 » Mean shift-based clustering |
140
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TJS
2010
15 years 1 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 ...
152
Voted
CVPR
2009
IEEE
16 years 10 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
...
125
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ACL
1993
15 years 4 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...
141
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EUROPAR
1999
Springer
15 years 7 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 ...
125
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ISAAC
2009
Springer
15 years 9 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...