1775 search results - page 110 / 355 » Learning Spectral Clustering |
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Clustering is crucial to many applications in pattern recognition, data mining, and machine learning. Evolutionary techniques have been used with success in clustering, but most su...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
Clustering algorithms typically operate on a feature vector representation of the data and find clusters that are compact with respect to an assumed (dis)similarity measure betwee...
EMNLP
2007
14 years 11 months ago
2007
It has been widely observed that different NLP applications require different sense granularities in order to best exploit word sense distinctions, and that for many applications ...
KDD
2004
ACM
15 years 10 months ago
2004
ACM
We use clustering to derive new relations which augment database schema used in automatic generation of predictive features in statistical relational learning. Clustering improves...
ESANN
2006
14 years 11 months ago
2006
The training of Emergent Self-organizing Maps (ESOM ) with large datasets can be a computationally demanding task. Batch learning may be used to speed up training. It is demonstrat...