Omslagsbillede

Feature selection for unsupervised learning applied to content-based image retrieval

This thesis explores the feature selection for unsupervised learning problem. We investigate the problem through our algorithm called FSSEM (Feature Subset Selection wrapped around Expectation-Maximization clustering) and through two different performance criteria for evaluating candidate feature su...

Fuld beskrivelse

Bibliografiske detaljer
Hovedforfatter: Dy, Jennifer Guani (Author)
Format: Electronic Resource
Sprog:engelsk
Udgivet: Ann Arbor Michigan ProQuest Information and Learning Company [2002]
Fag:
Computer algorithms.
Machine learning.
Online adgang:Full text access requires UP Webmail login