2017
DOI: 10.24200/sci.2017.4295
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A prototype-based classification using extended imperialist competitive algorithm

Abstract: KEYWORDSPrototype-based classi cation; Imperialist competitive algorithm; UCI machine learning repository.Abstract. Classi cation is an important machine learning technique used to predict group membership for data instances. In this paper, we propose an e cient prototypebased classi cation approach in the data classi cation literature by a novel soft-computing approach based on extended imperialist competitive algorithm. The novel classi er is called EICA. The goal is to determine the best places of the proto… Show more

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“…It is worth noting that their approach was not motivated by outperforming the latest classifier, but by providing an explainable framework to dermatologists. In another attempt, Fazel Zarand, et al [9] proposed to extend an imperialist competitive algorithm (ICA) prototype-based classification technique and compared their results with state-of-the-art ICA algorithms. Their proposition provided encouraging results.…”
Section: Prototype-based Neural Networkmentioning
confidence: 99%
“…It is worth noting that their approach was not motivated by outperforming the latest classifier, but by providing an explainable framework to dermatologists. In another attempt, Fazel Zarand, et al [9] proposed to extend an imperialist competitive algorithm (ICA) prototype-based classification technique and compared their results with state-of-the-art ICA algorithms. Their proposition provided encouraging results.…”
Section: Prototype-based Neural Networkmentioning
confidence: 99%