<p>Univariate classification results for the training and test sets using the Mahalanobis distance metric for each MR parameter.</p
For many machine learning algorithms such as k-nearest neighbor ( k-NN) classifiers and k-means clus...
where a and b are twomultivariate observations, Σ− is the inverse of the variance-covariance matrix...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
A randomized algorithm for learning Mahalanobis metrics: application to classification and regressio...
Distance criteria are widely applied in cluster analysis and classification techniques.One of the we...
Distance criteria are widely applied in cluster analysis and classification techniques. One of the w...
A distance metric that can accurately reflect the intrinsic characteristics of data is critical for ...
A distance metric that can accurately reflect the intrinsic characteristics of data is critical for ...
Mahalanobis distance (inter-cluster) between cluster groups of garden pea genotypes (pooled analysis...
Outliers were marked with blue and red points for rMD and MD respectively. All MD outliers are also ...
<p>Results of nonparametric tests comparing moccasin distances against Sun Dance distances.</p
<p>CVA p values from permutation tests obtained for Mahalanobis and Procrustes distances.</p
<p>For the training set, the number of one-to-one matches as a function of the distance threshold va...
For many machine learning algorithms such as k-nearest neighbor ( k-NN) classifiers and k-means clus...
Metrics for model performance using antler beam diameter and length from test dataset.</p
For many machine learning algorithms such as k-nearest neighbor ( k-NN) classifiers and k-means clus...
where a and b are twomultivariate observations, Σ− is the inverse of the variance-covariance matrix...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
A randomized algorithm for learning Mahalanobis metrics: application to classification and regressio...
Distance criteria are widely applied in cluster analysis and classification techniques.One of the we...
Distance criteria are widely applied in cluster analysis and classification techniques. One of the w...
A distance metric that can accurately reflect the intrinsic characteristics of data is critical for ...
A distance metric that can accurately reflect the intrinsic characteristics of data is critical for ...
Mahalanobis distance (inter-cluster) between cluster groups of garden pea genotypes (pooled analysis...
Outliers were marked with blue and red points for rMD and MD respectively. All MD outliers are also ...
<p>Results of nonparametric tests comparing moccasin distances against Sun Dance distances.</p
<p>CVA p values from permutation tests obtained for Mahalanobis and Procrustes distances.</p
<p>For the training set, the number of one-to-one matches as a function of the distance threshold va...
For many machine learning algorithms such as k-nearest neighbor ( k-NN) classifiers and k-means clus...
Metrics for model performance using antler beam diameter and length from test dataset.</p
For many machine learning algorithms such as k-nearest neighbor ( k-NN) classifiers and k-means clus...
where a and b are twomultivariate observations, Σ− is the inverse of the variance-covariance matrix...
<p>Performance with training datasets of various sizes using automatically predicted medical concept...
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