本文選題：Chernoff臉譜圖 + 方差��； 參考：《調(diào)研世界》2017年09期

【摘要】：針對(duì)現(xiàn)有Chernoff臉譜圖(以下簡(jiǎn)稱(chēng)臉譜圖)的繪制過(guò)程并未考慮變量分配對(duì)其最終表達(dá)能力的影響,本文嘗試提出改進(jìn)臉譜圖的思路。首先通過(guò)人類(lèi)對(duì)不同臉譜圖物件(包括臉部器官和發(fā)型等)的識(shí)別敏感度進(jìn)行降序排序;其次對(duì)變量的變異程度依方差、變異系數(shù)、極差同樣進(jìn)行降序排序;再次依強(qiáng)強(qiáng)結(jié)合的原則將變異程度高的變量分配到識(shí)別敏感度高的(變異程度低的變量則分配到識(shí)別敏感度低的)構(gòu)件上,實(shí)現(xiàn)臉譜圖的改進(jìn),增強(qiáng)臉譜圖的表達(dá)能力;最后利用人體尺寸數(shù)據(jù)與樹(shù)葉輪廓數(shù)據(jù)對(duì)幾個(gè)方案進(jìn)行比較,得出基于方差與極差的變量分配所得到的臉譜圖明顯優(yōu)于現(xiàn)行基于變量隨機(jī)分配的臉譜圖的結(jié)論。
[Abstract]:In view of the fact that the mapping process of Chernoff (hereinafter referred to as Facebook) does not take into account the effect of variable allocation on its ultimate expressive ability, this paper attempts to put forward the idea of improving the facial graph.First, the human beings rank the sensitivity of different facial images (including facial organs and hairstyles) in descending order; secondly, the degree of variation of variables is ranked according to variance, coefficient of variation and range.Thirdly, according to the principle of strong and strong combination, the variable with high degree of variation is assigned to the component with high sensitivity (the variable with low degree of variation is assigned to the component with low sensitivity of identification), so that the improvement of facial graph is realized and the expression ability of facial graph is enhanced.Finally, several schemes are compared by using human dimension data and leaf contour data. It is concluded that the face map based on variance and range assignment is obviously superior to the existing facial map based on random assignment of variables.
【作者單位】： 中國(guó)人民大學(xué)統(tǒng)計(jì)學(xué)院;
【分類(lèi)號(hào)】：C81

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本文編號(hào)：1752393