Browsing by Subject "Clustering"
Now showing items 1-7 of 7
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Conference Object
Clustering subjects in genetic studies with self organizing maps
(2012)Several machine learning techniques have been applied for finding multi-loci associations among Single Nucleotide Polymorphisms (SNPs) and a disease. In this paper it is investigated whether Self Organizing Maps (SOMs) can ...
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Conference Object
A combination of weather clustering and data-driven methods for intraday PV power production forecasting
(2023)PV systems are becoming the primary solution for meeting future electricity demands as conventional power generation declines globally. However, integrating PV systems into distribution networks presents new challenges in ...
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Article
A comparison study of heuristics for mapping parallel algorithms to message-passing multiprocessors
(1995)This paper presents a comparison study of popular clustering and mapping heuristics which are used to map task-flow graphs to message-passing multiprocessors. To this end, we use task-graphs which arc representative of ...
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Conference Object
Identifying clusters with attribute homogeneity and similar connectivity in information networks
(2013)With the rapid emergence of the internet world, a lot of information networks become available every day. In many cases, these information networks contain objects connected by multiple links and described by different ...
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Conference Object
Region based Support Vector Machine algorithm for medical diagnosis on Pima Indian Diabetes dataset
(2012)The problem of diagnosing Pima Indian Diabetes from data obtained from the UCI Repository of Machine Learning Databases[6] is handled with a modified Support Vector Machine strategy. Performance comparison with previous ...
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Article
Towards implicit user modeling based on artificial intelligence, cognitive styles and web interaction data
(2014)A key challenge of adaptive interactive systems is to provide a positive user experience by extracting implicitly the users' unique characteristics through their interactions with the system, and dynamically adapting and ...
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Article
Weighted clustering of attributed multi-graphs
(2017)An information network modeled as an attributed multi-graph contains objects described by heterogeneous attributes and connected by multiple types of edges. In this paper we study the problem of identifying groups of related ...