The following pages link to AS 136 (Q26083):
Displaying 50 items.
- Dynamic tail dependence clustering of financial time series (Q1685205) (← links)
- A novel probabilistic clustering model for heterogeneous networks (Q1689548) (← links)
- TRANSFORM-ANN for online optimization of complex industrial processes: casting process as case study (Q1694351) (← links)
- A semiparametric and location-shift copula-based mixture model (Q1695097) (← links)
- Variance-based cluster selection criteria in a \(K\)-means framework for one-mode dissimilarity data (Q1695625) (← links)
- A unified approach to functional principal component analysis and functional multiple-set canonical correlation (Q1695636) (← links)
- Cluster analysis of longitudinal profiles with subgroups (Q1697471) (← links)
- Vine copula approximation: a generic method for coping with conditional dependence (Q1702298) (← links)
- Multi-period classification: learning sequent classes from temporal domains (Q1715877) (← links)
- Optimized assignment patterns in mobile edge cloud networks (Q1734851) (← links)
- A mixed-integer programming approach to GRNN parameter estimation (Q1749962) (← links)
- Distributed consensus-based \(K\)-means algorithm in switching multi-agent networks (Q1757674) (← links)
- Classification using class cover catch digraphs (Q1762812) (← links)
- Pattern layer reduction for a generalized regression neural network by using a self-organizing map (Q1784078) (← links)
- Machine learning core inflation (Q1787684) (← links)
- Spatiotemporal extended fuzzy C-means clustering algorithm for hotspots detection and prediction (Q1795025) (← links)
- Numerical studies of MacQueen's \(k\)-means algorithm for computing the centroidal Voronoi tessellations (Q1886488) (← links)
- Principal points and self-consistent points of elliptical distributions (Q1895346) (← links)
- The Kohonen self-organizing map method: An assessment (Q1907939) (← links)
- On endmember identification in hyperspectral images without pure pixels: a comparison of algorithms (Q1932910) (← links)
- Performance of protein-ligand docking with CDK4/6 inhibitors: a case study (Q1980088) (← links)
- Mixtures of restricted skew-\(t\) factor analyzers with common factor loadings (Q1999453) (← links)
- A fuzzy edge-weighted centroidal Voronoi tessellation model for image segmentation (Q2007268) (← links)
- Community detection in node-attributed social networks: a survey (Q2026311) (← links)
- A variational approximations-DIC rubric for parameter estimation and mixture model selection within a family setting (Q2038212) (← links)
- Robust detection of neural spikes using sparse coding based features (Q2038824) (← links)
- Quick-means: accelerating inference for K-means by learning fast transforms (Q2051290) (← links)
- Weighted co-association rate-based Laplacian regularized label description for semi-supervised regression (Q2054054) (← links)
- MIPLIB 2017: data-driven compilation of the 6th mixed-integer programming library (Q2062317) (← links)
- Efficient two-scale analysis with thermal residual stresses and strains based on self-consistent clustering analysis (Q2063443) (← links)
- Network embedding: taxonomies, frameworks and applications (Q2065964) (← links)
- On the behaviour of \(K\)-means clustering of a dissimilarity matrix by means of full multidimensional scaling (Q2066591) (← links)
- An empirical comparison between stochastic and deterministic centroid initialisation for K-means variations (Q2071340) (← links)
- K-bMOM: A robust Lloyd-type clustering algorithm based on bootstrap median-of-means (Q2072412) (← links)
- Wavelet multidimensional scaling analysis of European economic sentiment indicators (Q2075717) (← links)
- Versatile uncertainty quantification of contrastive behaviors for modeling networked anagram games (Q2086660) (← links)
- Clustering and representation of time series. Application to dissimilarities based on divergences (Q2087089) (← links)
- Combined relevance vector machine technique and subset simulation importance sampling for structural reliability (Q2110833) (← links)
- A Bayesian approach to model individual differences and to partition individuals: case studies in growth and learning curves (Q2111322) (← links)
- Data clustering based on the modified relaxation Cheeger cut model (Q2115038) (← links)
- Robust clustering of multiply censored data via mixtures of \(t\) factor analyzers (Q2125473) (← links)
- High-dimensional clustering via random projections (Q2129311) (← links)
- Hybrid maximum likelihood inference for stochastic block models (Q2129593) (← links)
- Bayesian sparse convex clustering via global-local shrinkage priors (Q2135928) (← links)
- KM-MIC: an improved maximum information coefficient based on K-medoids clustering (Q2137340) (← links)
- An image segmentation method based on network clustering model (Q2150082) (← links)
- Neighborhood density information in clustering (Q2163854) (← links)
- Benchmarking penalized regression methods in machine learning for single cell RNA sequencing data (Q2163973) (← links)
- Model selection strategies for determining the optimal number of overlapping clusters in additive overlapping partitional clustering (Q2169873) (← links)
- Frequency and severity estimation of cyber attacks using spatial clustering analysis (Q2172027) (← links)
