Mahalanobis distance (MD)
EEG BASED DROWSINESS ESTIMATION USING MAHALANOBIS DISTANCE
... As EEG spectra in theta rhythm (4–7 Hz) and alpha rhythm (8–11 Hz) usually shows the changes the cognitive state and memory performance, these rhythms are used to derive the drivers’ alert models and detect their ...
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VIDEO BASED INDIAN SIGN LANGUAGE RECOGNITION USING BLOCK ZIG-ZAG DCT FEATURES AND MAHALANOBIS DISTANCE CLASSIFIER
... minimum distance classifier ...training. Mahalanobis distance is the metric that will assign class variables to different sign ...classes. Mahalanobis distance [24] is chosen for SLR ...
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The Evaluation of Global Accuracy of Romanian Inflation Rate Predictions Using Mahalanobis Distance
... of Mahalanobis distance in assessing the overall accuracy of inflation predictions in Romania when two scenarios are proposed at different times by several experts in forecasting or forecasters using data ...
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Outlier Detection Based on Robust Mahalanobis Distance and Its Application
... classical Mahalanobis distance is greatly affected by the outliers, there is a large deviation in either low-dimensional data set or high-dimensional data set when there are outliers in the data ...
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A New Incremental Decision Tree Learning for Cyber Security based on ILDA and Mahalanobis Distance
... with Mahalanobis distance for classification of the hierarchical tree by reducing data features that enhance classification of a variety of malicious ...
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A Comparative Study of Face Authentication Using Euclidean and Mahalanobis Distance Classification Method
... The Mahalanobis distance is a metric which is better adapted than the usual Euclidean distance to settings involving non spherically symmetric ...and Mahalanobis Distance classification ...
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Ambiguous Metaclustering Algorithm and Crisp Recursive Profiling for Online Reviewers Using Mahalanobis distance
... of mahalanobis distance for resulting ...Euclidean distance for uncorrelated variables with unit ...uses mahalanobis distance for profiling of online reviewer and business ...
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Identification and Classification of Rice varieties using Mahalanobis Distance by Computer Vision
... Features of Mahalanobis distance: - Mahalanobis distance produces simple and efficient way for object identification. It takes distribution of the points (correlations) into account to ...
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Cluster merging based on weighted Mahalanobis distance with application in digital mammography
... The covariance matrices of the generated clusters are used t o determine cluster similarity and closeness so that clusters which are similar in shape and close in Mahalanobis distance ca[r] ...
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Ranking mahalanobis distance models for predictions of occupancy from presence-only data
... A critical step in any modeling effort is to select analytical techniques appropriate for both the question at hand and the available data. In situations where absence data are unavailable, presence-only approaches such ...
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An Adaptive Multi-Focus Medical Image Fusion using Cross Bilateral Filter Based on Mahalanobis Distance Measure K. L. Naga Kishore, N. Nagaraju, A. V. V. Vinod Kumar
... In this paper, an image fusion technique is proposed for multi-focused medical images of CT and MRI, which is based on Cross Bilateral Filter using Mahalanobis Distance Measure. This paper compares the ...
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Using Mahalanobis distance to evaluate recovery in acute stroke
... Conceptually, Mahalanobis distance is the equivalent of a multi- dimensional z-score, and serves a similar function in being able to classify individual scores as either members or outliers of a parent ...
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Fuzzy Supervised Clustering Algorithm with the Particle Swarm Optimization
... Euclidean distance, we could try to extend the distance measure to Mahalanobis distance ...the Mahalanobis distance can not be used directly in clustering ...modified ...
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Comparison of different algorithms for land use mapping in dry climate using satellite images: a case study of the Central regions of Iran
... minimum distance of mean (MDM), Mahalanobis distance (MD), maximum likelihood (ML), artificial neural network (ANN), spectral angle mapper (SAM), and support vector machine (SVM) were considered in ...
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Mahalanobis distance-based recognition of changes in the dynamics of a seismic process
... Thus, the most important conclusion is that prior to almost all strong earthquakes, in periods which can be regarded as relatively seismically calm, the original seismic process is indis[r] ...
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Adaptive Scheme for Outliers Detection in Wireless Sensor Networks
... Nowadays, Wireless Sensor Networks (WSNs) have become a way of information gathering and monitoring. These particular kinds of ad hoc networks find applications in various fields such as healthcare, army and environment, ...
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A Supervised Classification Method for Levee Slide Detection Using Complex Synthetic Aperture Radar Imagery
... supervised Mahalanobis distance classification algorithm for the detection of slough slides on levees using complex polarimetric Synthetic Aperture Radar (polSAR) ...
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Algorithm enhancement for host-based intrusion detection system using discriminant analysis
... Statistical method also used to analyzes system calls in privileged processes with discriminant analysis with Mahalanobis distance (Midori et al., 2001). This method appears to be quit[r] ...
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A Comparative analysis of spectral band selection techniques
... List of Figures Number Title Figure 1 Geometrical Representation Page of Mahalanobis Distance 7 Figure 2 Statistical Distance Between Class Means 11 Figure 3 Individual Sine Curves 16 Fi[r] ...
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Robust Factor based Anomaly Detection in Hierarchical Wireless Sensor Networks
... To obtain the model we have made 50 simulation runs for zero and . We evaluated the performance using two metrics namely detection rate and false alarm rate. Receiver Operating Characteristics (ROC) curve is used to ...
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