TY - JOUR
T1 - Schizophrenia Classification Using Fuzzy Kernel C-Means
AU - Hartini, S.
AU - Rustam, Z.
N1 - Funding Information:
This research was supported financially by the Ministry of Research, Technology, and Higher Education Republic of Indonesia (KEMENRISTEKDIKTI) with PTUPT 2020 research grant scheme.
Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/2/15
Y1 - 2021/2/15
N2 - Schizophrenia is a severe mental disorder that induces the mind, feeling, and behavior. Earlier treatment for this disease is essential; therefore, the ability to predict schizophrenia also becomes essential. Fuzzy kernel c-means was proposed in this research, utilizing the data obtained from Northwestern University, which consists of 171 schizophrenia and 221 non-schizophrenia samples. There are several kernel functions; however, RBF and polynomial kernel function were used. As the evaluation, k-fold cross-validation with k = 3, 5, 7, and 10 was used, and each of the performances was analyzed. From the experiments, it was concluded that fuzzy kernel c-means using RBF kernel with s = 0.01 and s = 1 provides better performance than polynomial kernel with a similar running time with fuzzy c-means.
AB - Schizophrenia is a severe mental disorder that induces the mind, feeling, and behavior. Earlier treatment for this disease is essential; therefore, the ability to predict schizophrenia also becomes essential. Fuzzy kernel c-means was proposed in this research, utilizing the data obtained from Northwestern University, which consists of 171 schizophrenia and 221 non-schizophrenia samples. There are several kernel functions; however, RBF and polynomial kernel function were used. As the evaluation, k-fold cross-validation with k = 3, 5, 7, and 10 was used, and each of the performances was analyzed. From the experiments, it was concluded that fuzzy kernel c-means using RBF kernel with s = 0.01 and s = 1 provides better performance than polynomial kernel with a similar running time with fuzzy c-means.
KW - fuzzy kernel C-means
KW - Schizophrenia classification
UR - http://www.scopus.com/inward/record.url?scp=85101763387&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1752/1/012039
DO - 10.1088/1742-6596/1752/1/012039
M3 - Conference article
AN - SCOPUS:85101763387
SN - 1742-6588
VL - 1752
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012039
T2 - 3rd International Conference on Statistics, Mathematics, Teaching, and Research 2019, ICSMTR 2019
Y2 - 9 October 2019 through 10 October 2019
ER -
