Open AccessNearest Centroid Classifier with Outlier Removal for Classification
Author(s) -
Aditya Hari Bawono,
Fitra Abdurrahman Bahtiar,
Ahmad Afif Supianto
Publication year - 2020
Publication title -
jitecs (journal of information technology and computer science)
Language(s) - English
Resource type - Journals
eISSN - 2540-9824
pISSN - 2540-9433
DOI - 10.25126/jitecs.202051162
Subject(s) - outlier , centroid , classifier (uml) , pattern recognition (psychology) , preprocessor , artificial intelligence , k nearest neighbors algorithm , computer science , anomaly detection , data mining
Classification method is misled by outlier. However, there are few research of classification with outlier removal, especially for Nearest Centroid Classifier Method. The proposed methodology consists of two stages. First, preprocess the data with outlier removal, removes points which are far from the corresponding centroid. Second, classify the outlier removed data. The experiment covers six data sets which have different characteristic. The results indicate that outlier removal as preprocessing method provide better result for improving Nearest Centroid Classifier performance on most data set.