Pages that link to "Item:Q947985"
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The following pages link to Learning a Mahalanobis distance metric for data clustering and classification (Q947985):
Displaying 34 items.
- Distance metric learning guided adaptive subspace semi-supervised clustering (Q352041) (← links)
- Construction of image reduction operators using averaging aggregation functions (Q529013) (← links)
- A boosting approach for supervised Mahalanobis distance metric learning (Q645912) (← links)
- Frameworks for multivariate \(m\)-mediods based modeling and classification in Euclidean and general feature spaces (Q650957) (← links)
- Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction (Q663376) (← links)
- Twin Mahalanobis distance-based support vector machines for pattern recognition (Q712487) (← links)
- Semi-supervised metric learning via topology preserving multiple semi-supervised assumptions (Q888561) (← links)
- On minimum class locality preserving variance support vector machine (Q975182) (← links)
- Non-linear metric learning using pairwise similarity and dissimilarity constraints and the geometrical structure of data (Q975219) (← links)
- Kernel-based metric learning for semi-supervised clustering (Q976661) (← links)
- Matrixized learning machine with modified pairwise constraints (Q1669624) (← links)
- Active constrained fuzzy clustering: a multiple kernels learning approach (Q1677205) (← links)
- Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition (Q1942726) (← links)
- Simplicial and minimal-variance distances in multivariate data analysis (Q2074654) (← links)
- Learning a metric when clustering data points in the presence of constraints (Q2183649) (← links)
- Learning a distance metric from relative comparisons between quadruplets of images (Q2187430) (← links)
- An efficient method for clustered multi-metric learning (Q2200672) (← links)
- Convex hull-based distance metric learning for image classification (Q2244020) (← links)
- Supervised distance metric learning through maximization of the Jeffrey divergence (Q2290334) (← links)
- Joint distance and similarity measure learning based on triplet-based constraints (Q2293255) (← links)
- Local discriminative distance metrics ensemble learning (Q2353755) (← links)
- Beyond linear subspace clustering: a comparative study of nonlinear manifold clustering algorithms (Q2668410) (← links)
- An exact algorithm for semi-supervised minimum sum-of-squares clustering (Q2676354) (← links)
- Distance metric learning for large margin nearest neighbor classification (Q2880882) (← links)
- Trace optimization and eigenproblems in dimension reduction methods. (Q2889401) (← links)
- (Q3093286) (← links)
- Ordinal Distance Metric Learning with MDS for Image Ranking (Q4604921) (← links)
- Mahalanobis distance informed by clustering (Q5006498) (← links)
- Leptokurtic moment-parameterized elliptically contoured distributions with application to financial stock returns (Q5079250) (← links)
- A multi-birth metric learning framework based on binary constraints (Q6052417) (← links)
- FGC\_SS: fast graph clustering method by joint spectral embedding and improved spectral rotation (Q6125220) (← links)
- Secure delegated quantum algorithms for solving Mahalanobis distance (Q6167727) (← links)
- Network-based semisupervised clustering (Q6579523) (← links)
- Semi-supervised clustering methods (Q6607905) (← links)
