Zobrazeno 1 - 10
of 97
pro vyhledávání: '"Chernoff face"'
Publikováno v:
JURNAL ILMIAH MATEMATIKA DAN TERAPAN. 16:102-109
Chernoff Face Method is a method used to represent multiple variable data in the form of a cartoon face with 20 specific facial features. In this study, we will show how the use of the Chernoff face method to see a portrait of public health in the ci
Publikováno v:
Journal of Electroanalytical Chemistry. 806:97-106
In this work a review of multivariate data visualization and unsupervised modeling methods was presented, applied to DPV and LAPV signals of black, green, red and white tea infusions of China and Vietnam origin. It proves that graphical presentation
Autor:
Young-seok Kim, Louise Cooke
Publikováno v:
Journal of Documentation. 73:466-480
Purpose The purpose of this paper is to conduct a big data analysis of public library operations and services of two cities in two countries by using the Chernoff face method. Design/methodology/approach The study is designed to evaluate library serv
Autor:
Young-seok Kim
Publikováno v:
Journal of the Korean Society for Library and Information Science. 51:271-287
Publikováno v:
Mechanical Systems and Signal Processing. 85:1035-1043
To develop an automatic welding quality classification method for the spot welding based on the Chernoff face image created by the electrode displacement signal features, an effective pattern feature extraction method was proposed by which the Cherno
Autor:
Selahattin Yavuz
Publikováno v:
Volume: 13, Issue: 1 152-161
Erzincan University Journal of Science and Technology
Erzincan University Journal of Science and Technology
Verilerin görselleştirme yöntemiolan grafik ve tablolar kullanılarak verilerin okuyucuya sunulması oldukçaönemlidir. Okuyucu, metin içerisine gizlenmiş olan gizli ilişkileri grafik vetablolar yardımıyla daha kolay anlayabilmektedir. Tek b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b885d66f987f3124eca2822bdfbc2853
https://dergipark.org.tr/tr/pub/erzifbed/issue/53239/640732
https://dergipark.org.tr/tr/pub/erzifbed/issue/53239/640732
Publikováno v:
2019 International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON).
The aim of this research is to improve the quality of teaching mathematics. In the process of collective learning, we mobilize informal knowledge. The best results are obtained when the whole system “students – teachers – studied disciplines
Autor:
Antoni Moore, Bin Jiang
Cartographers often face the task of depicting multivariate data on a single map. As spatial data gets ever more voluminous, and in particular, complex (multifarious), this challenge will have to be overcome with increasing regularity. Many solutions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf409f2d6c3c224528048c75a3d0e5f
https://www.abstr-int-cartogr-assoc.net/1/256/2019/
https://www.abstr-int-cartogr-assoc.net/1/256/2019/
Publikováno v:
Learning and Analytics in Intelligent Systems ISBN: 9783030243210
Software that is badly written and prone to design problems often smells. Code smells results in design anomalies that make software hard to understand and maintain. Several tools and techniques available in literature helps in detection of code smel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::027b8617435988316d72b865fc6fa1cd
https://doi.org/10.1007/978-3-030-24322-7_63
https://doi.org/10.1007/978-3-030-24322-7_63
Publikováno v:
PacificVis
We seek to answer the question on whether different geometrical attributes within a glyph can bias interpretation of data. We focus on a specific visual encoding, the Emoji, and evaluate its effectiveness at encoding multidimensional features. Given