Mining the World Bank Data: The Fuzzy C-means Clustering Approach
The World Development Indicators (WDI) provide comparative socioeconomic data for state economies. With regard to imprecisions and incompleteness in the collected data, we use fuzzy c-means clustering algorithm (FCM) to group the economies according to their mutual similarities. To determine the appropriate number of clusters, various criteria are examined.
I. Mrazova and C. H. Dagli, "Mining the World Bank Data: The Fuzzy C-means Clustering Approach," Intelligent Engineering Systems Through Artificial Neural Networks, American Society of Mechanical Engineers (ASME), Jan 2003.
Engineering Management and Systems Engineering
Keywords and Phrases
Data Acquisition; Data Mining; Data Reduction; Data Sets; Economics; Fuzzy Sets
Article - Conference proceedings
© 2003 American Society of Mechanical Engineers (ASME), All rights reserved.
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