Open AccessCOMPARISON OF UNSUPERVISED CLUSTERING METHODS FOR AUTOMATIC ABNORMALITY CLASSIFICATION IN A REMOTELY-MONITORED ARTIFICIAL HEART
Author(s) -
Jun-Sik Choi,
Hayeon Kim,
Jae Boong Choi,
J Kim,
I Y Kim,
Sinsu Kyoung,
Bumki Min
Publication year - 2003
Publication title -
asaio journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.961
H-Index - 66
eISSN - 1538-943X
pISSN - 1058-2916
DOI - 10.1097/00002480-200303000-00124
Subject(s) - cluster analysis , computer science , abnormality , artificial intelligence , pattern recognition (psychology) , fuzzy clustering , artificial neural network , set (abstract data type) , unsupervised learning , process (computing) , data mining , psychology , social psychology , programming language , operating system