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- W2906570249 abstract "This paper represents a comparative study between Data Mining Techniques with the purpose to determine the architectural styles of buildings using a smart developed system and also the WEKA(Waikato Environment for Knowledge Analysis) tool. This study aims to use the clustering hierarchical algorithms (the agglomerative algorithm and the divisive algorithm) and non-hierarchical (DBSCAN - Density-based spatial clustering of applications with noise), in order to evaluate as precise as possible the system. For this evaluation, we used a system which is based on two hierarchical clustering methods." @default.
- W2906570249 created "2019-01-01" @default.
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- W2906570249 date "2018-11-01" @default.
- W2906570249 modified "2023-10-18" @default.
- W2906570249 title "Evaluating hierarchical and non-hierarchical grouping for develop a smart system" @default.
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- W2906570249 doi "https://doi.org/10.1109/isetc.2018.8583997" @default.
- W2906570249 hasPublicationYear "2018" @default.
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