In this article classification method is proposed where data is first preprocessed using fuzzy robust principle component analysis (FRPCA) algorithms to get data into more feasible form. After this we use similarity classifier for the classification. We tested this procedure for breast cancer data and liver-disorder data. Results were quite promising and better classification accuracy was achie...

Among different cardiac arrhythmias, Ventricular Arrhythmias (VA) are fatal and life-threatening. Therefore, the detection classification of VA is crucial task for cardiologists. However, in some cases, ECG morphologies two kinds - Tachycardia (VT) Fibrillation (VF) similar difficult to distinguish by human eyes. In this study, we present a low computational complexity arrhythmia classifier wit...

Unsupervised classification methods learn a discriminative classifier from unlabeled data, which has been proven to be an effective way of simultaneously clustering the data and training a classifier from the data. Various unsupervised classification methods obtain appealing results by the classifiers learned in an unsupervised manner. However, existing methods do not consider the misclassifica...

Keywords: parametric, classifier, similarity-based. A parametric classifier builds class models and classifies test points as being from classes that they are most likely to belong to, given the class models. Over the summer, I worked with Professor to develop a parametric classifier that builds models based on only the similarity between samples. The parametric clas-sifier was compared to othe...

In this article we extend the similarity classifier to cover also Ordered Weighted Averaging (OWA) operators. Earlier, similarity classifier was mainly used with generalized mean operator, but in this article we extend this aggregation process to cover more general OWA operators. With OWA operators we concentrate on linguistic quantifier guided aggregation where several different quantifiers ar...

The 2017 Microblog Cultural Contextualization task consists in three challenges: (1) Content Analysis, (2) Microblog search, and (3) TimeLine illustration. This paper describes the use of cosine similarity, which is characterized by the comparison of similarity between two vectors of an inner product space. This research used two approaches: (1) word2vec and (2) Bag-of-Words (BoW) for extractin...