TY - GEN
T1 - Comparison between fuzzy kernel c-means, fuzzy kernel possibilistic c-means and support vector machines in soft tissue tumor classification
AU - Rustam, Zuherman
AU - Hartini, Sri
AU - Siswantining, Titin
AU - Utami, Dea Aulia
AU - Putri, Nadisa Karina
N1 - Publisher Copyright:
© Springer Nature Switzerland AG 2020.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Soft Tissue Tumor (STT) are cell growths, whose existence are not limited to the presence of tumors in soft tissues. Furthermore, they are classified into soft tissue and non-soft tissue tumor and early detection is important to determine the right course of treatment. This research, therefore, aims to compare fuzzy kernel c-means, fuzzy kernel possibilistic c-means and support vector machines on Soft Tissue Tumor dataset, obtained from Nur Hidayah Hospital, Yogyakarta, Indonesia, consisting of 50 STT and 25 non-STT samples. The results conclude that fuzzy kernel c-means provides a better running time when using the parameter σ = 0.05. However, support vector machines, with the parameter σ = 0.0001 performs better than other methods in terms of accuracy, sensitivity, precision, and F1-Score.
AB - Soft Tissue Tumor (STT) are cell growths, whose existence are not limited to the presence of tumors in soft tissues. Furthermore, they are classified into soft tissue and non-soft tissue tumor and early detection is important to determine the right course of treatment. This research, therefore, aims to compare fuzzy kernel c-means, fuzzy kernel possibilistic c-means and support vector machines on Soft Tissue Tumor dataset, obtained from Nur Hidayah Hospital, Yogyakarta, Indonesia, consisting of 50 STT and 25 non-STT samples. The results conclude that fuzzy kernel c-means provides a better running time when using the parameter σ = 0.05. However, support vector machines, with the parameter σ = 0.0001 performs better than other methods in terms of accuracy, sensitivity, precision, and F1-Score.
KW - Classification
KW - Fuzzy kernel C-Means
KW - Fuzzy possibilistic C-Means
KW - Kernel function
KW - Soft tissue tumor
KW - Support vector machines
UR - http://www.scopus.com/inward/record.url?scp=85080912761&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-36664-3_11
DO - 10.1007/978-3-030-36664-3_11
M3 - Conference contribution
AN - SCOPUS:85080912761
SN - 9783030366636
T3 - Advances in Intelligent Systems and Computing
SP - 92
EP - 105
BT - Advanced Intelligent Systems for Sustainable Development, AI2SD 2019 - Volume 2 - Advanced Intelligent Systems for Sustainable Development Applied to Agriculture and Health
A2 - Ezziyyani, Mostafa
PB - Springer
T2 - 2nd International Conference on Advanced Intelligent Systems for Sustainable Development, AI2SD 2019
Y2 - 8 July 2019 through 11 July 2019
ER -