NDLI: Visual tracking of the millennium development goals with a fuzzified self-organizing neural network

Content Provider	Springer Nature Link
Author	Sarlin, Peter
Copyright Year	2011
Abstract	This paper uses the self-organizing map (SOM), a neural network-based projection and clustering technique, for monitoring the millennium development goals (MDGs). The eight MDGs represent commitments to reduce poverty and hunger, and to tackle ill-health, gender inequality, lack of education, lack of access to clean water and environmental degradation by 2015. This paper presents a SOM model for cross sectional and temporal visual benchmarking of countries and pairs the map with a geospatial dimension by mapping the clustering onto a geographic map. The temporal monitoring is facilitated by fuzzifying the second-level clustering with membership degrees. By creating an MDG index, and associating the SOM model with it, the model enables cross sectional and temporal analysis of the overall MDG progress of countries or regions. Further, the SOM model enables analysis of country-specific as well as regional performance according to a user-specified level of aggregation. The result of this paper is an MDG map for visual tracking and monitoring of the progress of MDG indicators.
Starting Page	233
Ending Page	245
Page Count	13
File Format	PDF
ISSN	18688071
Journal	International Journal of Machine Learning and Cybernetics
Volume Number	3
Issue Number	3
e-ISSN	1868808X
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-11-15
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Self-organizing maps Millennium development goals Projection Clustering Geospatial visualization Pattern Recognition Systems Biology Control, Robotics, Mechatronics Statistical Physics, Dynamical Systems and Complexity Artificial Intelligence (incl. Robotics) Computational Intelligence
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Computer Vision and Pattern Recognition Software

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