Sentence examples for similarity indicator from inspiring English sources
We research the behaviors of the principal curvatures at the discontinuities and define the similarity indicator at a point.
A Principal Component Analysis (PCA) similarity indicator is adopted to measure the difference between new operating modes and the typical operating modes, based on which, new operating modes are divided into non-significantly-changed modes and significantly-changed modes.
A similarity indicator matrix was created by comparing all transcripts in the list to each other using tblastx.
In order to see whether our similarity indicator σ is capable of capturing the monotonous decrease in similarity under increasing randomization of one of the networks we analyzed σ for an ER graph [ 36] with n = 250 nodes and m = 1245 edges and its rewired counterparts as a function of the randomization depth r which corresponds to the number of rewired edges (Fig. 8).
Based on the similarity indicators, the C0, C1, and C2 points are identified from range data.
The similarity indicators make the threshold setting easier and more reasonable, and improve the performance of discontinuity identification.
In this paper, a novel method is proposed for identifying the C0, C1, and C2 discontinuities from range data based on similarity indicators.
This methodology is based on requirements and known technical parameters from which characteristic factors are derived that are merged to a dimensionless number, likewise the concept of similarity indicators.
They argued that firms can find partners by undertaking three consecutive steps: data collection and preprocessing, transforming patent documents into co-occurrence vectors, and deriving potential technology partners based on similarity indicators.
Statistical tests for ecological communities were employed: Jaccard and Q species similarity indices, two-way indicator species analysis (TWINSPAN), and new species fidelity, landscape fidelity and composite Q indices.
There were also similarities: profile indicators (e.g., population prognosis, vulnerability) and dialogue themes (e.g., obesity, social cohesion).
