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Neighborhood Counting Measure and Minimum Risk Metric

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1 Author(s)
Hui Wang ; Sch. of Comput. & Math., Univ. of Ulster, Newtownabbey, UK

The neighborhood counting measure is a similarity measure based on the counting of all common neighborhoods in a data space. The minimum risk metric (MRM) is a distance measure based on the minimization of the risk of misclassification. The paper by Argentini and Blanzieri refutes a remark about the time complexity of MRM, and presents an experimental comparison of MRM and NCM. This paper is a response to the paper by Argentini and Blanzieri. The original remark is clarified by a combination of theoretical analysis of different implementations of MRM and experimental comparison of MRM and NCM using straightforward implementations of the two measures.

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Pattern Analysis and Machine Intelligence, IEEE Transactions on  (Volume:32 ,  Issue: 4 )