00000cmm a22000004a 4500 UP-99796217611211778 Buklod 20140423080650.0 m go j cr cn |||aaaaa 101117s2011 xx u eng d 9783642162053 (eBook) 3642162053 (eBook) (iLib)UPD-00214607883 DML eng DMLUC QA 76.87 B37 2011eb Baruque, Bruno Fusion methods for unsupervised learning ensembles [electronic resource] Bruno Baruque and Emilio Corchado. Berlin Heidelberg Springer c2011 1 online resource (xvi, 141 p.) Studies in computational intelligence v. 322 IP-based subscription, access limited to within on campus computer network. Access via Electronic resources of the UPD University Library Website. The application of a committee of experts or ensemble learning to artificial neural networks that apply unsupervised learning techniques is widely considered to enhance the effectiveness of such networks greatly. This book examines the potential of the ensemble meta-algorithm by describing and testing a technique based on the combination of ensembles and statistical PCA that is able to determine the presence of outliers in high-dimensional data sets and to minimize outlier effects in the final results. Its central contribution concerns an algorithm for the ensemble fusion of topology-preserving maps, referred to as Weighted Voting Superposition (WeVoS), which has been devised to improve data exploration by 2-D visualization over multi-dimensional data sets. This generic algorithm is applied in combination with several other models taken from the family of topology preserving maps, such as the SOM, ViSOM, SIM and Max-SIM. A range of quality measures for topologypreserving maps that are proposed in the literature are used to validate and compare WeVoS with other algorithms. The experimental results demonstrate that, in the majority of cases, the WeVoS algorithm outperforms earlier map-fusion methods and the simpler versions of the algorithm with which it is compared. All the algorithms are tested in different artificial data sets and in several of the most common machine-learning data sets in order to corroborate their theoretical properties. Moreover, a real-life case-study taken from the food industry demonstrates the practical benefits of their application to more complex problems. Electronic reproduction. New York SpringerLink 2011. Available via World Wide Web through Springerlink. Neural networks (Computer science). Electronic book. Corchado, Emilio. SpringerLink (Online service). Springer eBooks. Printed edition 9783642244247. Available for University of the Philippine Diliman via Springerlink. Click here to access http://link.springer.com/book/10.1007/978-3-642-16205-3 FO Monograph UPD DMLR Electronic Resource