Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance

Yu-hua QIN; Meng ZHANG; Ning YANG; Qiu-fu SHAN

doi:10.3964/j.issn.1000-0593(2021)10-3117-06

Spectroscopy and Spectral Analysis, Volume. 41, Issue 10, 3117(2021)

Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance

Yu-hua QIN^1、*, Meng ZHANG^{1、1; *;}, Ning YANG^2、2;, and Qiu-fu SHAN^3、3;

Author Affiliations

¹1. College of Information Science and Technology, Qingdao University of Science and Technology, Qingdao 266061, China

²2. Qingdao Lanzhi Modern Service Industry Digital Engineering Research Center, Qingdao 266071, China

³3. China Tobacco Yunnan Industrial Co., Ltd., Technical Research Center, Kunming 650024, China

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Figures & Tables(7)

Fig. 1. Shared neighbor information of sample points x_i and x_j

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Fig. 2. Residual diagram with different parameter values

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Fig. 3. Dimensionality reduction projection of PCA, LPP, INLPP, KRLPP algorithms

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Table 1. Evaluation criteria of overall quality
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Table 1. Evaluation criteria of overall quality
质量偏差档次质量偏差描述
0 无
1 轻微
2 略有
3 有
4 稍大
5 较大

Table 2. Comparison of the classification results of tobacco stalk position based on different dimensional reduction algorithms
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Table 2. Comparison of the classification results of tobacco stalk position based on different dimensional reduction algorithms
算法正确识别率/%
PCA 66.2
LPP 77.6
INLPP 87.8
KRLPP 91.2

Table 3. Evaluation comparison of replacement tobacco and target tobacco

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Table 3. Evaluation comparison of replacement tobacco and target tobacco

方法	单料烟	烟叶相似性	化学成分/%				感官特征				质量差异
方法	单料烟	烟叶相似性	总烟碱	总糖	还原糖	总氮	香气特征	烟气特征	口感特征	总分	质量差异
	目标烟叶	-	2.24	25.51	21.83	1.97	35.1	34.4	15.0	84.5	-
	替换烟叶1	10.8	2.42	25.62	21.94	1.92	34.8	34.0	14.7	83.5	1.5
PCA	替换烟叶2	11.2	2.44	25.65	21.92	1.91	34.7	34.1	14.6	83.4	2.0
	替换烟叶3	11.5	2.44	25.64	21.89	2.03	34.8	33.9	14.7	83.9	2.5
	替换烟叶1	9.27	2.32	25.54	21.86	1.94	34.9	34.2	14.8	83.9	1.0
LPP	替换烟叶2	9.56	2.34	25.56	21.86	1.93	34.8	34.1	14.8	83.7	1.5
	替换烟叶3	9.73	2.36	25.57	21.87	1.93	34.9	34.1	14.7	83.7	1.5
	替换烟叶1	4.54	2.22	25.52	21.83	1.96	35.1	34.4	15.0	84.5	0
KRLPP	替换烟叶2	7.90	2.20	25.53	21.84	1.95	35.0	34.4	15.0	84.4	0
	替换烟叶3	7.78	2.18	25.52	21.82	1.95	35.0	34.4	14.0	84.4	0.5

Table 4. Evaluation comparison of replacement formula and original formula

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Table 4. Evaluation comparison of replacement formula and original formula

方法	叶组配方	烟叶相似性	化学成分/%				感官特征				质量差异
方法	叶组配方	烟叶相似性	总烟碱	总糖	还原糖	总氮	香气特征	烟气特征	口感特征	总分	质量差异
	原配方	-	2.23	25.53	21.87	2.00	36.4	34.7	16.0	87.1	-
	替换配方1	10.8	2.42	25.61	21.98	1.98	36.1	34.5	15.7	86.4	1.5
PCA	替换配方2	11.2	2.43	25.66	21.95	1.96	36.2	34.4	15.8	86.4	1.5
	替换配方3	11.5	2.45	25.65	21.93	2.06	36.1	34.4	15.7	86.2	2.0
	替换配方1	9.27	2.31	25.55	21.89	1.98	36.3	34.7	15.9	86.9	1.0
LPP	替换配方2	9.56	2.34	25.56	21.91	1.97	36.2	34.7	15.7	86.6	1.5
	替换配方3	9.73	2.37	25.58	21.90	1.97	36.3	34.6	15.8	86.7	1.0
	替换配方1	4.54	2.22	25.53	21.87	2.00	36.4	34.7	16.0	87.1	0
KRLPP	替换配方2	7.90	2.20	25.54	21.86	2.00	36.4	34.6	16.0	87.0	0.5
	替换配方3	7.78	2.20	25.52	21.87	1.99	36.3	34.7	16.0	87.0	0.5

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Yu-hua QIN, Meng ZHANG, Ning YANG, Qiu-fu SHAN. Local Preserving Projection Similarity Measure Method Based on Kernel Mapping and Rank-Order Distance[J]. Spectroscopy and Spectral Analysis, 2021, 41(10): 3117

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