抄録
Support Vector Machines (SVMs) deliver state-of-the-art performance in many real-world applications such as text categorization, hand-written character recognition, image classification, biosequences analysis, etc. SVMs are one of the standard tools for machine learning and data mining. The classification performances of our proposed fuzzy c-means based classifier (FCMC) on relatively small-sized data sets have been reported. This paper reports the experimental results on large-sized data sets. We compare FCMC with LibSVM by Chang and Lin, which is one of the superb approaches to the SVM classifier for large-sized data sets.
