Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aichetou Bouchareb"'
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783030181284
EGC (best of volume)
EGC (best of volume)
Co-clustering is a data mining technique used to extract the underlying block structure between the rows and columns of a data matrix. Many approaches have been studied and have shown their capacity to extract such structures in continuous, binary or
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efe5f8832753c0cd6d885f4c39aa2abf
https://doi.org/10.1007/978-3-030-18129-1_1
https://doi.org/10.1007/978-3-030-18129-1_1
Publikováno v:
Advances in Knowledge Discovery and Management ISBN: 9783030181284
EGC (best of volume)
EGC (best of volume)
Co-clustering is a class of unsupervised data analysis techniques that extract the existing underlying dependency structure between the instances and variables of a data table as homogeneous blocks. Most of those techniques are limited to variables o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3922c812d510bf969520cab2baca3318
https://doi.org/10.1007/978-3-030-18129-1_2
https://doi.org/10.1007/978-3-030-18129-1_2
This book highlights novel research in Knowledge Discovery and Management (KDM), gathering the extended, peer-reviewed versions of outstanding papers presented at the annual conferences EGC'2017 & EGC'2018. The EGC conference cycle was founded by the