Results 61 to 70 of about 34,377 (286)
Symbolic Multidimensional Scaling [PDF]
, 2015 __Abstract__ Multidimensional scaling (MDS) is a technique that visualizes dissimilarities between pairs of objects as distances between points in a low dimensional space.
Groenen, P.J.F. (Patrick), Terada, Y.
core
Visualizing Random Forest with Self-Organising Map
, 2014 Random Forest (RF) is a powerful ensemble method for classification and regression tasks. It consists of decision trees set. Although, a single tree is well interpretable for human, the ensemble of trees is a black-box model.
Płoński, Piotr, Zaremba, Krzysztof
core +1 more source
Additive Gaussian Process Regression for Predictive Design of High‐Performance, Printable Silicones
Advanced Engineering Materials, EarlyView.A chemistry‐aware design framework for tuning printable polydimethylsiloxane (PDMS) for vat photopolymerization (VPP) is developed using additive Gaussian process (GP) modeling. Polymer network mechanics informs variable groupings, feasible formulation constraints, and interaction variables.
Roxana Carbonell +3 more
wiley +1 more source
My Early Interactions with Jan and Some of His Lost Papers
Journal of Statistical Software, 2016 It has been over 40 years since I got to know Jan. This period almost entirely overlaps my career as a psychometrician. During these years, I have had many contacts with him.
Yoshio Takane
doaj +1 more source
Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms
Advances in Neural Information Processing Systems 37We introduce Non-Euclidean-MDS (Neuc-MDS), an extension of classical Multidimensional Scaling (MDS) that accommodates non-Euclidean and non-metric inputs. The main idea is to generalize the standard inner product to symmetric bilinear forms to utilize the negative eigenvalues of dissimilarity Gram matrices. Neuc-MDS efficiently optimizes the choice of (
Deng, Chengyuan +5 more
openaire +2 more sources
A Method for Fault Diagnosis Based on Multidimensional Scaling (MDS) in Analog Circuits
IOP Conference Series: Materials Science and Engineering, 2019 Abstract Considering different fault state of the circuit in the nonlinear analog circuit fault diagnosis, the output response of the circuit varies. A Method for Fault Diagnosis of Nonlinear Analog Circuits on the basis of Multidimensional Scaling (MDS) was put forward according to the variable output response. This method can transform
Bing Li +4 more
openaire +1 more source
Building an IT Taxonomy with Co-occurrence Analysis, Hierarchical Clustering, and Multidimensional Scaling [PDF]
, 2010 Different information technologies (ITs) are related in complex ways. How can the relationships among a large number of ITs be described and analyzed in a representative, dynamic, and scalable way?
Fleischmann, Kenneth R. +4 more
core
Advanced Functional Materials, EarlyView.The carbon cloth electrode with targeted pyridinic nitrogen doping, achieved via urea pyrolysis, effectively modulates the adsorption of Cr(II) species and enhances electron transfer, leading to significantly improved kinetics of the Cr(II)/Cr(III) reaction. The material demonstrates a high discharge capacity of 689.3 mAh and an energy efficiency of 72.
Jinfeng Yi +9 more
wiley +1 more source
Bimaster : Buletin Ilmiah Matematika, Statistika dan Terapannya, 2019 Analisis multivariat merupakan teknik statistik yang digunakan untuk menganalisis data terdiri dari banyak variabel yang saling berhubungan satu sama lain. Salah satu metode dalam analisis multivariat adalah metode Multidimensional Scaling (MDS). Metode MDS bertujuan untuk memberikan gambaran visual dari pola kedekatan yang berupa kesamaan atau ...
openaire +2 more sources
D3D-MDS: A Distributed 3D Localization Scheme for an Irregular Wireless Sensor Network Using Multidimensional Scaling [PDF]
International Journal of Distributed Sensor Networks, 2015 This paper proposes a distributed localization algorithm which can be applied to an irregular three-dimensional wireless sensor network, considering the algorithm accuracy and complexity. The algorithm uses clusters to eliminate the multihop distance errors.
Jin Fan, Baohui Zhang, Guojun Dai
openaire +2 more sources