Improved methods to compare distance metrics in networks using uniform random spanning trees (DIMECOST)
Sign Up to like & getrecommendations! Published in 2020 at "Networks"
DOI: 10.1002/net.21949
Abstract: We consider the network analytics problem of comparing two distance metrics on the same set of n entities. The classical solution to this problem is the Mantel test, which uses permutation testing to accept or… read more here.
Keywords: distance metrics; uniform random; spanning trees; random spanning ... See more keywords
Distance metrics optimized for clustering temporal dietary patterning among U.S. adults
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DOI: 10.1016/j.appet.2019.104451
Abstract: OBJECTIVE Few attempts to determine dietary patterns have incorporated concepts of time, specifically time and proportion of energy intake consumed throughout a day. A type of modified dynamic time warping (MDTW) was previously developed using… read more here.
Keywords: spectral clustering; distance metrics; distance; time ... See more keywords
Improved Distance Metrics for Histogram-Based Device-Free Localization
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Sensors Journal"
DOI: 10.1109/jsen.2019.2922772
Abstract: Device-free localization (DFL) systems that rely on the wireless received signal strength indicator (RSSI) metric have been reported in literature for almost a decade. Histogram distance-based DFL (HD-DFL) techniques that operate by constructing RSSI histograms… read more here.
Keywords: device free; free localization; distance; dfl ... See more keywords
A comparison of individual‐based genetic distance metrics for landscape genetics
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DOI: 10.1111/1755-0998.12684
Abstract: A major aim of landscape genetics is to understand how landscapes resist gene flow and thereby influence population genetic structure. An empirical understanding of this process provides a wealth of information that can be used… read more here.
Keywords: landscape genetics; distance metrics; genetics; genetic distance ... See more keywords
Evaluation of standard and semantically-augmented distance metrics for neurology patients
Sign Up to like & getrecommendations! Published in 2020 at "BMC Medical Informatics and Decision Making"
DOI: 10.1186/s12911-020-01217-8
Abstract: Background Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between concepts can outperform standard… read more here.
Keywords: neurology; distance metrics; distance; semantically augmented ... See more keywords
Polarimetric learning: a Siamese approach to learning distance metrics of algal Mueller matrix images.
Sign Up to like & getrecommendations! Published in 2018 at "Applied optics"
DOI: 10.1364/ao.57.003829
Abstract: Polarimetric measurements are becoming increasingly accurate and fast to perform in modern applications. However, analysis on the polarimetric data usually suffers from its high-dimensional nature spatially, temporally, or spectrally. This paper associates polarimetric techniques with… read more here.
Keywords: distance metrics; distance; mueller matrix; metric learning ... See more keywords
The Efficiency of Different Distance Metrics for Keyword-Based Search in Medical Documents: A Short Case Study
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DOI: 10.3233/shti200101
Abstract: BACKGROUND Processing of free text written medical texts involves many difficulties arising from typographical errors, synonyms, and abbreviations occurring in the texts. METHODS In this study, the applicability of the most common string similarity measures… read more here.
Keywords: keyword based; distance metrics; different distance; medical documents ... See more keywords