Hesitant Mahalanobis distance with applications to estimating the optimal number of clusters
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22512
Abstract: Distance measure is an essential tool to characterize the difference between two samples. Recently, lots of distance measures have been proposed for hesitant fuzzy sets (HFSs). In this paper, we shall propose some novel distance… read more here.
Keywords: distance measure; mahalanobis distance; distance; hesitant fuzzy ... See more keywords
In vivo detection of oral precancer using a fluorescence-based, in-house-fabricated device: a Mahalanobis distance-based classification
Sign Up to like & getrecommendations! Published in 2019 at "Lasers in Medical Science"
DOI: 10.1007/s10103-019-02720-9
Abstract: In vivo detection of oral precancer has been carried out by a fluorescence-based, in-house-developed handheld probe on three groups: oral squamous cell carcinoma (OSCC), dysplastic (precancer), and control (normal). Measurements have been performed on a… read more here.
Keywords: mahalanobis distance; detection; vivo detection; fluorescence ... See more keywords
Blade fault diagnosis using Mahalanobis distance
Sign Up to like & getrecommendations! Published in 2021 at "Journal of Mechanical Science and Technology"
DOI: 10.1007/s12206-021-0304-y
Abstract: The fault diagnosis of a rotating multi-blade system has been conducted using the vibration characteristics of the system. For the fault diagnosis, multi-dimensional features related to the system vibration characteristics were extracted and used for… read more here.
Keywords: diagnosis; system; multi; fault diagnosis ... See more keywords
A biased least squares support vector machine based on Mahalanobis distance for PU learning
Sign Up to like & getrecommendations! Published in 2018 at "Physica A: Statistical Mechanics and its Applications"
DOI: 10.1016/j.physa.2018.05.128
Abstract: Abstract In many domains, the presence of both positive and negative examples is not satisfied and only one class of examples is available. This special case of binary classification is called as PU (positive and… read more here.
Keywords: least squares; support vector; mahalanobis distance; distance ... See more keywords
Mahalanobis distance based on minimum regularized covariance determinant estimators for high dimensional data
Sign Up to like & getrecommendations! Published in 2020 at "Communications in Statistics - Theory and Methods"
DOI: 10.1080/03610926.2020.1719420
Abstract: Abstract Outlier detection is an extensively studied issue in robust literature. The most popular and traditional approach using to detect outliers is to calculate the Mahalanobis distance. However, conventional Mahalanobis distances may fail to detect… read more here.
Keywords: dimensional data; mahalanobis distance; high dimensional; covariance determinant ... See more keywords
A Data-Driven Fault Detection Framework Using Mahalanobis Distance Based Dynamic Time Warping
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3001379
Abstract: Fault detection module is one of the most important components in modern industrial systems. In this paper, we propose a novel fault detection framework which makes use of both normal and faulty measurement signals at… read more here.
Keywords: time; fault detection; framework; detection ... See more keywords
Enhance Tensor RPCA-Based Mahalanobis Distance Method for Hyperspectral Anomaly Detection
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"
DOI: 10.1109/lgrs.2022.3159341
Abstract: This letter proposes a spectral–spatial anomaly detection method based on tensor decomposition. First, tensor data are used to represent hyperspectral data to retain the original spectral and spatial information. Second, hyperspectral image (HSI) data are… read more here.
Keywords: mahalanobis distance; tensor; anomaly detection; method ... See more keywords
Data-Driven Multivariate Signal Denoising Using Mahalanobis Distance
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2019.2932715
Abstract: A novel multivariate signal denoising method is presented that computes Mahalanobis distance measure at multiple data scales obtained from multivariate empirical mode decomposition (MEMD) algorithm. That enables joint multichannel data denoising directly in multidimensional space… read more here.
Keywords: multivariate signal; tex math; distance; signal denoising ... See more keywords
MULBER: Effective Android Malware Clustering Using Evolutionary Feature Selection and Mahalanobis Distance Metric
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14102221
Abstract: Symmetric and asymmetric patterns are fascinating phenomena that show a level of co-existence in mobile application behavior analyses. For example, static phenomena, such as information sharing through collaboration with known apps, is a good example… read more here.
Keywords: mulber; android; mahalanobis distance; malware ... See more keywords