14 search results - page 1 / 3 » Disjunctive Learning with a Soft-Clustering Method |
ILP
2003
Springer
13 years 10 months ago
2003
Springer
In the case of concept learning from positive and negative examples, it is rarely possible to find a unique discriminating conjunctive rule; in most cases, a disjunctive descripti...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Despite of the large number of algorithms developed for clustering, the study on comparing clustering results is limited. In this paper, we propose a measure for comparing cluster...
SDM
2004
SIAM
13 years 6 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...
SBIA
2004
Springer
13 years 10 months ago
2004
Springer
One of the main objectives of a Machine Learning – ML – system is to induce a classifier that minimizes classification errors. Two relevant topics in ML are the understanding...
ECML
2005
Springer
13 years 6 months ago
2005
Springer
Although very widely used in unsupervised data mining, most clustering methods are affected by the instability of the resulting clusters w.r.t. the initialization of the algorithm ...