Similarity/dissimilarity index between two functionsAlice ParodiMirco PatriarcaLaura SangalliPiercesare SecchiSimone VantiniValeria Vitelli
Acoustic-statistical measurements of similarity index (R) and dissimilarity index (SDDD) on the basis of long term average spectra (LTASS) can be used as a support measurement in forensic phonetic cases (Harmegnies, 1995). In this research similarity and dissimilarity indices were compared for ...
Similarity and Dissimilarity: A Medicinal Chemist's View Hugo Kubinyi Drug Design, BASF AG, 0-67056 Ludwigshalfen, Germany Several 3D approaches discussed in this volume describe methods for the analysis and quantitative description of chemical similarity. The underlying concept is that chemical ...
Protein Similarity/Dissimilarity using Contact map and Matching Index Mageswari R, Srinnivasa Rao K, Sivakumar K: Protein similarity/dissimilarity using contact map and matching index, Mathematical Sciences International Research... M Rajapandian - International Conference on Mathematical Sciences 被引量:...
The cosine similarity index ranges from 1.0 (perfect similarity) to -1.0 (perfect dissimilarity). The cosine similarity index is written to the SIMINDEX (Cosine Similarity) field of the Output Features parameter. The Attributes of Interest values must be numeric and must be present (same field...
Most applications employ a distance functionδto compute the dissimilarity between a pair of feature vectors. The resulting distance represents how much the compared feature vectors are dissimilar from each other. The larger the distance, the more dissimilar the compared data are, and the closer to...
This paper proposes to study the concept of similarity and its use in the design of fuzzy system. The concept of similarity relation is effectively used in fuzzification of crisp values. Similarity index is used in measuring approximate (graded) equality
These measures enable the assessment of similarity and dissimilarity between CPFSMs, which is crucial for evaluating alternative solutions, identifying patterns, and optimizing complex systems. In decision-making, distance measures of CPFSMs help select the most suitable option by quantifying the proximity...
The cosine similarity index ranges from 1.0 (perfect similarity) to -1.0 (perfect dissimilarity) and is reported in theSIMINDEX(Cosine Similarity) field. You would use this similarity method to find places that have the same characteristics but perhaps at a larger or smaller scale. ...
In order to find a theoretical approach to this problem we propose a rating system ('dissimilarity index') based on structural data of HLA class I molecules, and on published data about frequencies of naturally occurring amino acid exchanges. For demonstration we employ our rating system for the...