Comparison Between Fuzzy Kernel C-Means, Fuzzy Kernel Possibilistic C-Means and Support Vector Machines in Soft Tissue Tumor Classification

[1]  V. Mascarenhas,et al.  Imaging techniques for the diagnosis of soft tissue tumors , 2015 .

[2]  Zuherman Rustam,et al.  Comparison between Support Vector Machine and Fuzzy C-Means as Classifier for Intrusion Detection System , 2018, Journal of Physics: Conference Series.

[3]  Zhe Li,et al.  Research on Combination Kernel Function of Support Vector Machine , 2008, 2008 International Conference on Computer Science and Software Engineering.

[4]  Zhikui Chen,et al.  A weighted kernel possibilistic c‐means algorithm based on cloud computing for clustering big data , 2014, Int. J. Commun. Syst..

[5]  M. H. Shaheed,et al.  Cancer classification using clustering based gene selection and artificial neural networks , 2011, The 2nd International Conference on Control, Instrumentation and Automation.

[6]  Francesco Masulli,et al.  Applying the Possibilistic c-Means Algorithm in Kernel-Induced Spaces , 2010, IEEE Transactions on Fuzzy Systems.

[7]  M. Matsumoto,et al.  Bone and Soft Tissue Tumours of the Foot: Review of 83 Cases , 2002, Journal of orthopaedic surgery.

[8]  P. Parizel,et al.  Classification of Soft Tissue Tumors by Machine Learning Algorithms , 2011 .

[9]  Trevor Hastie,et al.  The Elements of Statistical Learning , 2001 .

[10]  Hamidreza Farhidzadeh,et al.  Learning to Predict Clinical Outcomes from Soft Tissue Sarcoma MRI , 2017 .

[11]  ZUHERMAN RUSTAM,et al.  Fuzzy kernel C-means algorithm for intrusion detection systems , 2015 .

[12]  R. Grimer,et al.  One-year mortality in patients with bone and soft tissue sarcomas as an indicator of delay in presentation. , 2015, Annals of the Royal College of Surgeons of England.

[13]  D. Katenkamp,et al.  Soft tissue tumors: new perspectives on classification and diagnosis. , 2009, Deutsches Arzteblatt international.

[14]  James M. Keller,et al.  The possibilistic C-means algorithm: insights and recommendations , 1996, IEEE Trans. Fuzzy Syst..

[15]  Nello Cristianini,et al.  An Introduction to Support Vector Machines and Other Kernel-based Learning Methods , 2000 .

[16]  James C. Bezdek,et al.  An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering , 1997, IEEE Trans. Fuzzy Syst..

[17]  J. Szkandera,et al.  Diagnosis and treatment of soft-tissue sarcomas of the extremities and trunk , 2017, EFORT open reviews.

[18]  Lijuan Liu,et al.  Research on Kernel Function of Support Vector Machine , 2014, EMC/HumanCom.

[19]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[20]  William Stafford Noble,et al.  Classification and subtype prediction of adult soft tissue sarcoma by functional genomics. , 2003, The American journal of pathology.

[21]  B. Morrison.  Soft Tissue Sarcomas of the Extremities , 2003, Proceedings.