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What is Distance Measure

Chapter 29
Encyclopedia of Information Science and Technology, Third Edition
The quantity to compute similarity or dissimilarity of cases in a variable space determined by the variables used from a data set. Euclidean distance is obviously the best-known distance measure.
Published in Chapter:
Variable Importance Evaluation for Machine Learning Tasks
Martti Juhola (University of Tampere, Finland) and Tapio Grönfors (University of Eastern Finland, Finland)
Copyright: © 2015 |Pages: 8
DOI: 10.4018/978-1-4666-5888-2.ch029
Full Text Chapter Download: US $37.50 Add to Cart
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Chapter 4
Cluster Analysis in R With Big Data Applications
A numerical measure of the dissimilarity between two points which must have the properties of positivity, symmetry, and abide by the triangle inequality.
Published in Chapter: Cluster Analysis in R With Big Data Applications; From: Open Source Software for Statistical Analysis of Big Data: Emerging Research and Opportunities
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Chapter 149
Algorithms for Approximate Bayesian Computation
A measure of closeness (or distance) between two vectors.
Published in Chapter: Algorithms for Approximate Bayesian Computation; From: Encyclopedia of Information Science and Technology, Third Edition
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Chapter 160
Neighborhood Rough-Sets-Based Spatial Data Analytics
Measures to calculate distance between numerical, categorical or mixed data.
Published in Chapter: Neighborhood Rough-Sets-Based Spatial Data Analytics; From: Encyclopedia of Information Science and Technology, Fourth Edition
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Chapter 8
Function and Homology of Proteins Similar in Sequence: Phylogenetic Profiling
Measure to compare protein sequences by their amino acid composition. Sub-summing validations of two character states (amino acids on an identical position) in a similarity measure leads to the similarity score. The distance is the difference of the relative similarity to 1.
Published in Chapter: Function and Homology of Proteins Similar in Sequence: Phylogenetic Profiling; From: Handbook of Research on Systems Biology Applications in Medicine
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Chapter 52
Categorization of Data Clustering Techniques
This measure is a metric that is used to compute the distance between two data objects. The most commonly used distance measures are Manhattan distance and Euclidean distance.
Published in Chapter: Categorization of Data Clustering Techniques; From: Handbook of Research on Public Information Technology
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