Sentence examples for multidimensional scaling algorithm from inspiring English sources

Inspired by [ 16, 17, 31, 32], we analyzed the distance matrix elements with a multidimensional scaling algorithm.

These maps are produced by applying multidimensional scaling algorithm (52 54) on sequence pairwise distances to transform and project sequence positions into three dimensions.

Physicians' locations in Figure  1 were determined using a spring-embedding heuristic, multidimensional scaling algorithm, with proximity indicating the extent to which two clinicians were connected directly and indirectly through mutual colleagues [ 21].

Summary: We present bammds, a practical tool that allows visualization of samples sequenced by second-generation sequencing when compared with a reference panel of individuals (usually genotypes) using a multidimensional scaling algorithm.

Physicians' locations in Figure 1 were determined using a spring-embedding heuristic, multidimensional scaling algorithm, with proximity indicating the extent to which two physicians were connected directly and indirectly through mutual colleagues [ 39].

Many of these techniques refer to methods of data clustering, and, more recently, to generalized methods of graph splatting such as layout algorithms and multidimensional scaling algorithms [ 20- 24].

Base on the range distance in each sampling period, Cui et al. [12] use multidimensional scaling localization algorithm to evaluate the location of the target and fit the result of the estimation by polynomial.

Multidimensional scaling (MDS) algorithms are statistical techniques dating back 50 years, that take as its input a set of pairwise similarities and assign them locations in space [12, 13].

Using two Multidimensional Scaling (MDS) algorithms, ALSCAL and PREFMAP analysis, the perceptual space of user blog interface preferences was plotted to explore the hidden perceptual configuration of users as well as examine gender related ideal points.

We implemented principal component analysis (PCA) and multidimensional scaling (MDS) algorithms using the Orange data-mining suite with default parameters [ 82].

In the literature, there exist three main approaches for designing centralized distance-based localization algorithms: multidimensional scaling (MDS), linear programming, and stochastic optimization approaches.