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001-es BibID:BIBFORM092261
Első szerző:Gere Attila
Cím:Applying parallel factor analysis and Tucker-3 methods on sensory and instrumental data to establish preference maps: case study on sweet corn varieties / Gere Attila, Losó Viktor, Györey Annamária, Kovács Sándor, Huzsvai László, Nábrádi András, Kókai Zoltán, Sipos László
Dátum:2014
ISSN:0022-5142
Megjegyzések:BACKGROUND: Traditional internal and external preferencemappingmethods are based on principal component analysis (PCA). However, parallel factor analysis (PARAFAC) and Tucker-3 methods could be a better choice. To evaluate the methods, preference maps of sweet corn varieties will be introduced. RESULTS; A preference map of eight sweet corn varieties was established using PARAFAC and Tucker-3 methods. Instrumental data were also integrated into the maps. The triplot created by the PARAFAC model explains better how odour is separated from texture or appearance, and how some varieties are separated from others. CONCLUSION: Internal and external preference maps were created using parallel factor analysis (PARAFAC) and Tucker-3 models employing both sensory (trained panel and consumers) and instrumental parameters simultaneously. Triplots of the applied three-way models have a competitive advantage compared to the traditional biplots of the PCA-based external preference maps. The solution of PARAFAC and Tucker-3 is very similar regarding the interpretation of the first and third factors. The main difference is due to the second factor as it differentiated the attributes better. Consumers who prefer ♭super sweet' varieties (they place great emphasis especially on taste) are much younger and have significantly higher incomes, and buy sweet corn products rarely (once a month). Consumers who consume sweet corn products mainly because of their texture and appearance are significantly older and include a higher ratio of men.
Tárgyszavak:Társadalomtudományok Gazdálkodás- és szervezéstudományok idegen nyelvű folyóiratközlemény külföldi lapban
folyóiratcikk
preference mapping algorithm
parallel factor analysis
Tucker-3
sensory analysis
sweet corn
Megjelenés:Journal Of The Science Of Food And Agriculture. - 94 : 15 (2014), p. 3213-3225. -
További szerzők:Losó Viktor Györey Annamária Kovács Sándor (1978-) (matematika tanár) Huzsvai László (1961-) (talajerőgazdálkodási szakmérnök, agrármérnök) Nábrádi András (1956-) (közgazdász, agrárökonómus) Kókai Zoltán Sipos László (agrár)
Pályázati támogatás:TÁMOP 4.2.1.B-09/1/KMR-2010-005
TÁMOP
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2.

001-es BibID:BIBFORM077946
035-os BibID:(cikkazonosító)e3003
Első szerző:Gere Attila
Cím:Spectral clustering in eye-movement researches / Attila Gere, Sándor Kovács, László Sipos
Dátum:2018
ISSN:0886-9383 1099-128X
Megjegyzések:Eye tracking is a widely used technology to capture the eye movements of participants completing different tasks. Several eye-tracking parameters are measured, which later can be used to characterize the gazing pattern of the individuals. Clustering based on the path walked on by the participants may enable the researchers to create clusters based on the unconscious personality and thinking style. Common clustering methods generally are unable to handle path data; hence, new dynamic variables are needed. Spectral clustering can handle these types of data well. Spectral clustering handles clustering as a graph partitioning problem without making specific assumptions on the form of the clusters and uses eigenvectors of matrices derived from the data. This way, data are mapped to a low-dimensional space, which can be easily clustered. Different food choice tasks were presented, and each of the 149 participants had to choose 1 product of the presented 4 and later from 8 alternatives. A new measure was introduced based on all 3 consecutive points from the fixations, and the areas of the triangles formed by these 3 points were computed. The new eye-movement index captures the temporal variation and also considers the orientation of the fixation points. Spectral clustering resulted 5 balanced clusters defined by Dunn, Silhouette, and C-indices. Results were compared to the most widely applied hierarchical and centroid-based clustering (k-means) methods. Spectral clustering achieved the best results in clustering indices and cluster sizes proved to be more balanced; hence, it outperforms the commonly used applied hierarchical and k-means.
Tárgyszavak:Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:Journal of Chemometrics. - 32 : 4 (2018), p. 1-10. -
További szerzők:Kovács Sándor (1978-) (matematika tanár) Sipos László (agrár)
Pályázati támogatás:ÚNKP?17?4
egyéb
OTKA K119269
OTKA
VEKOP?2.3.3?15?2017?00022
VEKOP
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3.

001-es BibID:BIBFORM077945
035-os BibID:(cikkazonosító)e3011
Első szerző:Sipos László (agrár)
Cím:A novel ranking distance measure combining Cayley and Spearman footrule metrics / László Sipos, Attila Gere, József Popp, Sándor Kovács
Dátum:2018
ISSN:0886-9383
Megjegyzések:Defining the appropriate ranking distance measures among rankings is a classicarea of study. The goal of our work is to identify a combination of methodologies, which is proven to be capable for the determination of a proper rankingsystem. In our study, we used 3 well-established metrics: Kendall tau,Spearman footrule, and Cayley distance and a novel metric created by thecombination of Cayley and Spearman footrule metrics. The results of the newlyintroduced metric depend on how fast we can trade a permutation of items tothe reference permutation according to the Spearman footrule. On the otherhand, the distance also depends on the number of cycles and the inversionsin the cycle. Two case studies - chemometric data of phytonutrients of tomatovarieties and sensometric data of orange juices - were used to test theperformance of the studied ranking distance metrics. The properties ofthe new metric were compared to the traditional metrics regarding the normality of their distributions, significant number of differences between the ratingobjects, and the quality of the rankings. Results were validated by leave-one-out cross-validation and significant differences by Wilcoxon matched pairs test.
Tárgyszavak:Természettudományok Matematika- és számítástudományok idegen nyelvű folyóiratközlemény külföldi lapban
Megjelenés:Journal of Chemometrics. - 32 : 4 (2018), p. 1-12. -
További szerzők:Gere Attila Popp József (1955-) (közgazdász) Kovács Sándor (1978-) (matematika tanár)
Pályázati támogatás:ÚNKP?17?4
egyéb
OTKA K119269
OTKA
VEKOP 2.3.3?15?2017?00022
VEKOP
Internet cím:Szerző által megadott URL
DOI
Intézményi repozitóriumban (DEA) tárolt változat
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