The categorical abstract machine

Support vector machine (SVM) was originally developed to solve binary classification problems for objects with only continuous features, and it often outperforms other classifiers. However, we often encounter datasets with mixed-type ...

• A novel support vector machine (SVM) for categorical features is proposed.
• It ...

Twin support vector machine (TWSVM) has gained increasing interest from various research fields recently. In this paper, we aim to report the current state of the theoretical research and practical advances on TWSVM. We first give the basic thought and ...

When clustering unlabeled data, categorical attributes are usually treated differently from numerical attributes because of their unique characteristics, which introduces difficulties in clustering data with both types of attributes. In this paper, we ...