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Similarity between Euclidean and cosine angle distance for nearest neighbor queries

Gang Qian, Shamik Sural, Yuelong Gu, Sakti Pramanik
2004 Proceedings of the 2004 ACM symposium on Applied computing - SAC '04  
In this paper, we compare two commonly used distance measures in vector models, namely, Euclidean distance (EUD) and cosine angle distance (CAD), for nearest neighbor (NN) queries in high dimensional data  ...  Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application.  ...  Understanding the relationship among distance measures can help us to choose a proper distance measure for a particular application.  ... 
doi:10.1145/967900.968151 dblp:conf/sac/QianSGP04 fatcat:jxug5b6pgvcgdcyfesjyfyhg4u

A Proposed Similarity Measure for Text-Classification

A Similarity measure is a main process in the text processing method. we have proposed a new method of similarity measure which improved the performance of the K-NN method.  ...  The proposed measure extended the accuracy of the text classification method. we have implemented proposed method with Amazon dataset and we observed the effectiveness of proposed similarity measure is  ...  Measuring distance is a basic method to calculate the similarity of two documents and it could be used as step of Text-classification [11] .  ... 
doi:10.35940/ijitee.d1939.049620 fatcat:zdhfmhe2u5fjfe2fwliumif3me

A New Approach to Change Vector Analysis Using Distance and Similarity Measures

Osmar A. Carvalho Júnior, Renato F. Guimarães, Alan R. Gillespie, Nilton C. Silva, Roberto A. T. Gomes
2011 Remote Sensing  
In this test the best magnitude measure was the Euclidean distance and the best similarity measure was Spectral Angle Mapper.  ...  This paper proposes a new approach to calculate the spectral direction of change, using the Spectral Angle Mapper and Spectral Correlation Mapper spectral-similarity measures.  ...  Acknowledgments This study was funded through a project grant "Integrated model for monitoring and sustainable development of the São Francisco Basin" from the Conselho Nacional de Desenvolvimento Científico  ... 
doi:10.3390/rs3112473 fatcat:4xlxfpcrtbf7xdhjpixh7oi7zq

Page 344 of Science Education Vol. 32, Issue 5 [page]

1948 Science Education  
The geometric—graphic—method requires the drawing of a triangle to a known scale using the two measured angles, x and y, and the included side b (the base-line ) representing the known length.  ...  The unknown distance becomes the other side of the right angle and is known as “a.”” The known angle x is opposite side “a.”  ... 

Page 552 of Behavior Research Methods Vol. 29, Issue 4 [page]

1997 Behavior Research Methods  
The scalar distance OA measures the distinc¬ tiveness of Item A, and OB measures the distinctiveness of Item B. The distance AB measures the distance be¬ tween Item Pair AB in the similarity space.  ...  Thus, there are several ways in which the information-distance isomorphism allows asymmet¬ rical similarity measures to be derived from the distances measured in a similarity space.  ... 

Non-Contact Strain Measurement of Mesh Surface Using Digital Image Analysis

Hiroaki TANAKA
Therefore, a method to correct the effects of the mesh's angle of tilt and distance of the mesh from the camera on the estimated spatial frequency was also developed based on the shape measurement results  ...  A noncontact method of measuring the strain on a wire-mesh surface using a digital image correlation technique was developed and its feasibility was investigated.  ...  Therefore, a method to correct the effects of the mesh's angle of tilt and distance of the mesh from the camera on the estimated spatial frequency was also developed based on the shape measurement results  ... 
doi:10.2322/tastj.15.a37 fatcat:a2vfy5ejbrcszpyvlc2n4vocyq

Annual runoff prediction using a nearest-neighbour method based on cosine angle distance for similarity estimation

G. Qin, H. Li, X. Wang, Q. He, S. Li
2015 Proceedings of the International Association of Hydrological Sciences  
This paper used the cosine angle distance (CAD) for the similarity measure, which reflects more differences in the direction, and compared it to EUD.  ...  The Nearest Neighbour Method (NNM) is a data-driven and non-parametric scheme established on the similarity characteristics of hydrological phenomena.  ...  CAD and EUD consider one aspect of the similarity measure; developing a better distance measure which considers both the direction and absolute distance would further improve the runoff prediction using  ... 
doi:10.5194/piahs-368-204-2015 fatcat:x32tzr6llreyzeoqzgipcswoee

VVS: Fast Similarity Measuring of FoV-Tagged Videos

Wei Ding, Junfeng Tian, Yonsik Lee, Kwangsoo Yang, Kwang Woo Nam
2020 IEEE Access  
In this paper, we propose a novel method that can measure the similarity of FoV-tagged videos in two dimensions.  ...  VVS uses the movement distances and the view vector distances to support the simplified vector-based similarity measurement.  ...  Finally, we review the existing methods for the similarity measurement of trajectory data. A.  ... 
doi:10.1109/access.2020.3031485 fatcat:c7zsikwtizhdnexc4xinbd5yqy

Content Based Image Retrieval by using Multi Layer Centroid Contour Distance

Kohei Arai, Cahya Rahmad
2013 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
In this paper we present a new approach to measuring similarity between two shape of object.  ...  We develop a novel approach feature shape by measuring distance between centroid (center) and boundary of object that can capture multiple boundaries in the same angle or multi-layer centroid contour distance  ...  D(a) is distance between center of object and the boundary of object with angle a (from 0 to 360).  ... 
doi:10.14569/ijarai.2013.020303 fatcat:zu3zsb2ozvhozpanvsrvcwkt6m

Accuracy improvement in laser stripe extraction for large-scale triangulation scanning measurement system

Yang Zhang, Wei Liu, Xiaodong Li, Fan Yang, Peng Gao, Zhenyuan Jia
2015 Optical Engineering: The Journal of SPIE  
A center extraction method is proposed for improving the accuracy of the laser stripe center extraction based on image evaluation of Gaussian fitting structural similarity and analysis of the multiple  ...  Then using the relationships between the gray distribution of the laser stripe and the multiple source factors, a compensation method of center extraction is presented.  ...  Theory of Structural Similarity The structural similarity (SSIM) index provides a method for measuring the similarity between the evaluating image x and reference image y. 21 The reference image is a  ... 
doi:10.1117/1.oe.54.10.105108 fatcat:nkumldhgrngehdm7samglhqjry

Herb Leaves Recognition using Gray Level Co-occurrence Matrix and Five Distance-based Similarity Measures

R. Rizal Isnanto, Munawar Agus Riyadi, Muhammad Fahmi Awaj
2018 International Journal of Electrical and Computer Engineering (IJECE)  
While the use of 20 and 30 test data resulted in a recognition rate of 50.67% and 60.00%.  ...  The recognition system used 10 leaf test images with GLCM method and Canberra distance resulted in the highest accuracy of 92.00%.  ...  and its identification using distance-based similarity measures.  ... 
doi:10.11591/ijece.v8i3.pp1920-1932 fatcat:cmjgrmo32vd5leo3baviztbg2y

A Hybrid Clustering Method with a Filter Feature Selection for Hyperspectral Image Classification

Junzhe Zhang
2022 Journal of Imaging  
Implementing the similarity measures as the kernels with weights into the K-means algorithm, a new hybrid changing-weight classification method with a filter feature selection (HCW-SSC) was developed.  ...  In this paper, a filter feature selection was designed to select the most representative features based on similarity measures.  ...  of each similarity measure based on AVIRIS HSI (Euclidean distance (ED), spectral angle cosine (SAC), Euclidean distance-spectral angle cosine (ED-SAC), random forest (RF), and a new hybrid changing-weight  ... 
doi:10.3390/jimaging8070180 pmid:35877625 pmcid:PMC9322186 fatcat:5boqhwvdh5ei7bpgxpzjb6r4lu

Page 255 of Journal of Chemometrics Vol. 4, Issue 3 [page]

1990 Journal of Chemometrics  
Two such relations form the base of the most widely used similarity measures: distance and angle.  ...  Two standard clustering strategies are tested with the proposed similarity measure: hierarchical clustering and the K-median method.  ... 

Adaptation of Distance Measurements for Range Sampling

William A. Laycock
1965 Journal of range management  
Highlight Modification of a distance measurement technique (the angle-order method) for estimating density, herbage production, and ground cover was fesfed in 1960 and 1961 af the U. S.  ...  Estimates of plani density and herbage production obtained by the angle-order method were compared with esiimates on 9.6-and 96-squarefoot plots, and estimates of cover were compared with estimates from  ...  Methods Sampling methods compared in 1960 were: (1) distance measurements plus individual plant weight and area measurements in four quadrants a r o u n d saniple points (angle-order method), 1 30  ... 
doi:10.2307/3895599 fatcat:o7sfpifmmzcqzdgi7bxixchvdy

Protein Backbone Torsion Angle-Based Structure Comparison and Secondary Structure Database Web Server

Sunghoon Jung, Se-Eun Bae, Insung Ahn, Hyeon S. Son
2013 Genomics & Informatics  
The web server offers functions of secondary structure database search, secondary structure calculation, and pair-wise protein structure comparison, based on a backbone torsion angle representation system  ...  Structural information has been a major concern for biological and pharmaceutical studies for its intimate relationship to the function of a protein.  ...  It was also supported by Korea Institute of Science and Technology Information (K-12-L06-C02-S01).  ... 
doi:10.5808/gi.2013.11.3.155 pmid:24124412 pmcid:PMC3794089 fatcat:avcgcwgmufg5rfryoesrsfoqwe
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