This study incorporates similarity and dissimilarity into a hypothesis about rate of acquisition: The rate of acquisition for a dissimilar phenomenon is faster than for a similar phenomenon. Although not stated in the hypothesis, effects of markedness are accounted for: Degree of markedness, an ...
designed for ratio data should control for differences due to a multiplicative factor. Euclidean Distance The basis of many measures of similarity and dissimilarity is euclidean distance. The distance between vectors X and Y is defined as follows: In other words, euclidean distance is the square ro...
Chapters and Articles You might find these chapters and articles relevant to this topic. Mini review Similarity/dissimilarity calculation methods of DNA sequences: A survey 2.3.1Similarity matrix Similarity matrixis used to represent the similarities of differentDNA sequences. It could reveal the biolo...
Baeyens, F., Eelen, P., van den Bergh, O., & Crombez, G. (1989). The influence of CS- UCS perceptual similarity/dissimilarity on human evaluative learning and signal leam- ing. Learning and Motivation, 20, 322-333.Baeyens, F., Eelen, P., Van den Bergh, O., & Crombez, G. (...
Measuring molecular similarity or dissimilarity has two basic components: the representation of molecular characteristics (such as fingerprints) and the similarity coefficient that is used to quantify the degree of resemblance between two such representations. ...
Bias Fieldhas a moderate effect on most metrics. MS-SSIM is much more sensitive to simulated bias field artifacts than simple SSIM or CW-SSIM. The error metrics show clearly increased (dissimilarity) scores, while the LPIPS score is hardly effected. Compared to other distortions, PCC drops noti...
several instances in a dataset are drawn from the same distribution and share underlying semantic information. A good data representation should contain relations between the instances, or semantic similarity and dissimilarity, that contrastive learning harms by considering all negatives as noise. To circu...
In short, we evaluate CDR3 sequence similarity (technically dissimilarity, as lower is better), with a score which we term CDRdist, with 0 in- dicating an exact match and 1 no identifiable similarity. We assess the predictive power of CDR3 sequences by using this score to perform 1-...
Bias Fieldhas a moderate effect on most metrics. MS-SSIM is much more sensitive to simulated bias field artifacts than simple SSIM or CW-SSIM. The error metrics show clearly increased (dissimilarity) scores, while the LPIPS score is hardly effected. Compared to other distortions, PCC drops noti...
finds the optimum combination of customers that maximizes the similarity of all the customers within each cluster. At the same time, it maximizes the dissimilarity between the clusters it produces. To decide that, it tries to maximize the value of a statistic that it calculates, the Condorcet ...