Euclidean distance
Generating triangulated macromolecular surfaces by Euclidean Distance Transform.
... In Table 3, we compare our algorithm on 6 protein structures with LSMS and MSMS for the cavity detection. The bounding boxes for EDTSurf and LSMS are set to be the same (256 3 ). The probe radius is 1.2 A ˚ . The vertex ...
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FORMAS DE AGRUPAMENTO DE GENÓTIPOS DE CATINGUEIRA COM BASE NAS CARACTERÍSTICAS MORFOLÓGICAS
... the Euclidean distance average linkage, obtained among genotypes from variables, plant height (ALT), diameter at ground level (DAS), number of tillers (NP), fruit production (PF), fruit length (FL), fruit ...
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FAST REAL TIME ANALYSIS OF WEB SERVER MASSIVE LOG FILES USING AN IMPROVED WEB MINING ARCHITECTURE
... The web has played a vital role to detect the information and finding the reasons to organize a system. As the web sites were increased, the web log files also increased based on the web searching. Our challenge and the ...
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DATA MINING FOR THE ASSESSMENT OF MANAGEMENT AREAS IN PRECISION AGRICULTURE1
... (with Euclidean Distance, with and without Principal Component Analysis) were overlapped with soil physical and chemical data from one farming area split into two, three, and four MAs, with the Fuzzy ...
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Testing the ortholog conjecture with comparative functional genomic data from mammals.
... To calculate functional similarity for the microarray data, we used the Pearson correlation coefficient (the Euclidean distance provided similar results). A) The figure shows four hypoth[r] ...
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J. Braz. Chem. Soc. vol.27 número10
... (iv) Euclidean distance that is the distance between two points in n dimensional space equal with the length of the segment connecting these ...Manhattan distance (city block) that is the sum ...
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Comparison Between Multivariate Methods Applied for the Evaluation of Genetic Divergence in Cacao (Theobroma cacao L.)
... Mahalanobis’ distance and canonical variate but not in Euclidean distance and ...of distance which consider all p variances as well as all p(p-1)/2 covariances (as Mahalanobis’ distance ...
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Comput. Appl. Math. vol.26 número3
... In this section we will generalize a class of matrices introduced by Hayden and Tarazaga in [4] called balanced Euclidean distance matrices , since they are spherical and the centroid of[r] ...
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Braz. j. oceanogr. vol.54 número4
... Density, species richness and Shannon diversity were used to determine differences between fish assemblages according to each module type. Richness and density values were prior log- transformed to minimize ...
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Effects of demand shocks in the Brazilian economy: new production and value added multipliers
... the Euclidean distance method proposed in Amaral et al (2012) and data from input-output tables, the main results showed that: a) the structural change effect was more important than the scale effect, both ...
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SHORTEST PATH ARC LENGTH NETWORK USING TRIANGULAR INTUITIONISTIC FUZZY NUMBER
... Abstract—In this paper, an intuitionistic fuzzy shortest path is presented to find the optimal path in a network which a fuzzy number, instead of a positive integer is assigned to each arc length. The algorithm is based ...
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SSM-DBSCANand SSM-OPTICS : Incorporating a new similarity measure for Density based Clustering of Web usage data.
... like Euclidean distance, Jaccard, Cosine and Fuzzy similarity measures to measure the similarity of web sessions using sequence alignment to determine learning behaviors of web usage ...
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Evaluation of Morphological Diversity, Mitotic Instability and Fertility in Tritipyrum
... Squared Euclidean distance was able to cluster genotypes using the Ward hierarchical cluster analysis based on grain yield, 1000 grains weight and fertility (Figure ...
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Variable Satellite Usage in GPS Receivers
... The accuracy of each proposed method is compared with the standard NR method. Figure 3.1 depicts the Euclidean distance error versus the number of satellites for each method. From Figure 3.1, the errors of ...
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Combining multiple models to predict the geographical distribution of the Baru tree (Dipteryx alata Vogel) in the Brazilian Cerrado
... We used five different techniques to model the potential geographic distribution of the Baru tree, based on presence-only data (i.e., only occurrences are known, absences are unknown). The specific models tested included ...
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Ray Tracing in Non-Euclidean Spaces
... As described below, hyperbolic spaces are curved non-Euclidean spaces for which raster- ization techniques have been developed. Rasterization is possible in hyperbolic spaces because any two geodesics diverging ...
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The Effect of Spatial Distance and Anatomical Distance on Finger Compatibility
... relative distance of responses keys and responding fingers and they found that size of the spatial compatibility effect depends only on the spatial distance of the responding fingers, but not the anatomical ...
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DISTANCE LEARNING: SOME CONSIDERATIONS
... of distance learning ...of distance learning education in a wide context, which makes it a distinguished alternative to education, in accordance with the current social symptom, legible through Lacan’s ...
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Cones in the euclidean space with vanishing scalar curvature
... Given a hypersurface M on a unit sphere of the Euclidean space, we define the cone based on M as the set of half-lines issuing from the origin and passing through M. By assuming that the scalar curvature of the ...
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