1310 search results - page 8 / 262 » Learning the k in k-means |
ICANN
2009
Springer
14 years 2 months ago
2009
Springer
Neural networks and other sophisticated machine learning algorithms frequently miss simple solutions that can be discovered by a more constrained learning methods. Transition from ...
ICML
2003
IEEE
14 years 10 months ago
2003
IEEE
A novel native stochastic local search algorithm for solving k-term DNF problems is presented. It is evaluated on hard k-term DNF problems that lie on the phase transition and com...
ICDAR
2009
IEEE
13 years 7 months ago
2009
IEEE
In this paper, we propose a new method based on wavelet transform, statistical features and central moments for both graphics and scene text detection in video images. The method ...
ICONIP
2008
13 years 11 months ago
2008
In this paper we present a comparison of multiple cluster algorithms and their suitability for clustering text data. The clustering is based on similarities only, employing the Kol...
ECAI
2000
Springer
14 years 2 months ago
2000
Springer
This paper describes Mo’K, a configurable workbench that supports the development of conceptual clustering methods for ontology building. Mo’K is intended to assist ontology de...