Instance reduction for supervised learning using input-output clustering method

© 2015, Central South University Press and Springer-Verlag Berlin Heidelberg. A method that applies clustering technique to reduce the number of samples of large data sets using input-output clustering is proposed. The proposed method clusters the output data into groups and clusters the input data...

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Bibliographic Details
Main Authors: Anusorn Yodjaiphet, Nipon Theera-Umpon, Sansanee Auephanwiriyakul
Format: Journal
Published: 2018
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Online Access:https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84949987838&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/54470
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Institution: Chiang Mai University
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