發(fā)布時(shí)間：2018-03-26 12:06

  本文選題：海明距離判別法　切入點(diǎn)：屬性層級(jí)　出處：《江西師范大學(xué)學(xué)報(bào)(自然科學(xué)版)》2017年04期

【摘要】：為探討海明距離判別法(HDD)的非參數(shù)優(yōu)勢(shì),通過(guò)一個(gè)5因素混合實(shí)驗(yàn),考察了4個(gè)因素(屬性層級(jí)、測(cè)驗(yàn)長(zhǎng)度、樣本容量、知識(shí)狀態(tài)分布)對(duì)HDD的3種判別方法(R方法、B方法、W方法)分類(lèi)準(zhǔn)確率的影響.結(jié)果表明:1)屬性層級(jí)和測(cè)驗(yàn)長(zhǎng)度均會(huì)影響HDD判準(zhǔn)率,屬性層級(jí)越緊密、測(cè)驗(yàn)長(zhǎng)度越長(zhǎng),HDD判準(zhǔn)率越高;2)HDD對(duì)樣本容量無(wú)依賴(lài),可適于小樣本評(píng)估;3)HDD的R方法、B方法、W方法的分類(lèi)準(zhǔn)確率無(wú)差異;4)HDD無(wú)需被試知識(shí)狀態(tài)分布的正態(tài)性假設(shè),更適于均勻分布.
[Abstract]:In order to investigate the nonparametric advantage of Hamin distance discriminant method (HDD), four factors (attribute hierarchy, test length, sample size) were investigated by a 5-factor mixed experiment. The effect of knowledge state distribution on the classification accuracy of HDD's three discriminant methods / R method / B method / W method. The results show that both the attribute level and the test length will affect the HDD accuracy rate, and the closer the attribute hierarchy is, the closer the classification accuracy is. The longer the length of the test, the higher the accuracy of HDD. The higher the accuracy of HDD is, the higher HDD is independent of sample size, so it is suitable for small samples to evaluate HDD. There is no difference in the classification accuracy of the R method / B method / W method for evaluating HDD in small samples. The assumption that HDD does not need the normal distribution of knowledge states of the subjects is more suitable for uniform distribution.
【作者單位】： 浙江師范大學(xué)教師教育學(xué)院;
【基金】：教育部人文社會(huì)科學(xué)研究一般課題(16YJA190002)資助項(xiàng)目
【分類(lèi)號(hào)】：B841.7

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1 李喻駿;認(rèn)知診斷評(píng)價(jià)中一種簡(jiǎn)單有效的方法—海明距離判別法[D];江西師范大學(xué);2015年

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本文編號(hào)：1667834