Results 91 to 100 of about 7,151,068 (329)
Self- and Super-organizing Maps in R: The kohonen Package [PDF]
In this age of ever-increasing data set sizes, especially in the natural sciences, visualisation becomes more and more important. Self-organizing maps have many features that make them attractive in this respect: they do not rely on distributional ...
Lutgarde M. C. Buydens, Ron Wehrens
core
FEBS Open Bio, EarlyView.Research is strongest when conducted alongside patients, not just about them. Patient research organizations help integrate patient perspectives into research priorities, study design, and scientific meetings, leading to meaningful patient outcomes and development of relevant therapies.
Jenica H. Kakadia +9 more
wiley +1 more source
Determinants of Patent Protection Regimes: A Self-Organizing Map Approach
Review of Economic Perspectives, 2018 This study investigates the determinants of patent protection regimes with the use of the self-organizing map (SOM) method. Unlike any previous attempts in the existing literature, this paper takes into consideration the lack of analytical techniques in ...
Demir Caner, Cergibozan Raif
doaj +1 more source
GelMA‐based 3D spheroids recapitulate transcriptomic and functional hallmarks of myeloid sarcoma
FEBS Open Bio, EarlyView.GelMA 5% hydrogels support the formation of myeloid leukemia spheroids that recapitulate MS‐specific features, including G1 arrest, apoptosis, and ECM‐driven transcriptomic reprogramming. The 3D model mimicked soft‐tissue‐like stiffness and oxygen conditions, and transcriptomic convergence with primary MS samples confirmed its utility as a preclinical ...
Nicolas Germain +11 more
wiley +1 more source
Self-organizing homotopy network [PDF]
, 2007 In this paper, we propose a conceptual learning algorithm called the 'self-organizing homotopy (SOH)' together with an implementation thereof. As in the case of the SOM, our SOH organizes a homotopy in a self-organizing manner by giving a set of data ...
Furukawa, Tetsuo +2 more
core +2 more sources
QUANTIFICATION OF UNCERTAINTY IN SELF-ORGANIZING MAP
IBRO Neuroscience Reports, 2023 Tong Zhou +2 more
doaj +1 more source
Customer Segmentation Based on Self-Organizing Maps: A Case Study on Airline Passengers
Havacılık ve Uzay Teknolojileri Dergisi, 2020 Customer segmentation is acustomer grouping modelbased on common featuresand it directly relates with customer satisfaction of the companies.It provides access to the right customer with the right methods by knowing the customer better.
İlkay Yelmen +2 more
doaj
Evaluating Self-Organizing Map Quality Measures as Convergence Criteria
, 2017 —The self-organizing map is a type of artificial neural network that has applications in a variety of fields. The self-organizing map training algorithm uses unsupervised learning to produce a low-dimensional representation of high-dimensional data.
G. Breard
semanticscholar +1 more source
Self-organizing Maps and Ancient Documents [PDF]
, 2004 This paper presents how Self-Organizing Maps and especially Kohonen maps can be applied to digital images of ancient collections in the perspective of valorization and diffusion. As an illustration, a scheme of transparency reduction of the digitized Gutenberg Bible is presented. In this two steps method, the Kohonen map is trained to generate a set of
Smigiel, Eddie +2 more
openaire +3 more sources
Cell surface CD11c as a neutrophil aging marker molecule
FEBS Open Bio, EarlyView.Cell surface CD11chi neutrophils were more aged and had better phagocytic function than CD11c−/lo neutrophils. Transcriptomic analysis of CD11chi neutrophils and CD11c−/lo neutrophils in pediatric population showed that the most difference was seen in infants.
Sophia Koutsogiannaki +5 more
wiley +1 more source