The following pages link to Silhouettes (Q16059):
Displaying 50 items.
- Assessment of the technical efficiency of Brazilian logistic operators using data envelopment analysis and one inflated beta regression (Q2178377) (← links)
- Finding groups in structural equation modeling through the partial least squares algorithm (Q2181549) (← links)
- Pseudo-quantile functional data clustering (Q2181734) (← links)
- Clustering genomic words in human DNA using peaks and trends of distributions (Q2183652) (← links)
- \(k\)-means genetic algorithms with greedy genetic operators (Q2217036) (← links)
- Embedding-based silhouette community detection (Q2217405) (← links)
- Health policyholder clustering using medical consumption. A useful tool for targeting prevention plans (Q2219633) (← links)
- Effects of resampling in determining the number of clusters in a data set (Q2220684) (← links)
- C443: a methodology to see a forest for the trees (Q2220704) (← links)
- Unsupervised machine learning based on non-negative tensor factorization for analyzing reactive-mixing (Q2222331) (← links)
- Estimating the number of clusters via a corrected clustering instability (Q2228237) (← links)
- Cophenetic-based fuzzy clustering of time series by linear dependency (Q2237541) (← links)
- A data-driven forecasting approach for newly launched seasonal products by leveraging machine-learning approaches (Q2241169) (← links)
- Validity indices for clusters of uncertain data objects (Q2241184) (← links)
- Energy-based function to evaluate data stream clustering (Q2256783) (← links)
- Towards improving fuzzy clustering using support vector machine: application to gene expression data (Q2270746) (← links)
- Modified differential evolution based fuzzy clustering for pixel classification in remote sensing imagery (Q2270853) (← links)
- Quantization and clustering on Riemannian manifolds with an application to air traffic analysis (Q2274972) (← links)
- \(K\)-means cloning: adaptive spherical \(K\)-means clustering (Q2283822) (← links)
- Adaptive consensus reaching process with hybrid strategies for large-scale group decision making (Q2286885) (← links)
- Deformation analysis in tunnels through curve clustering (Q2290030) (← links)
- Multi-manifold matrix decomposition for data co-clustering (Q2290340) (← links)
- Using multiple time series analysis for geosensor data forecasting (Q2292931) (← links)
- Identification of release sources in advection-diffusion system by machine learning combined with Green's function inverse method (Q2295911) (← links)
- A new binary adaptive elitist differential evolution based automatic \(k\)-medoids clustering for probability density functions (Q2298657) (← links)
- Variance based three-way clustering approaches for handling overlapping clustering (Q2302952) (← links)
- The \(\delta \)-machine: classification based on distances towards prototypes (Q2304085) (← links)
- MDCGen: multidimensional dataset generator for clustering (Q2304095) (← links)
- A robust procedure to build dynamic factor models with cluster structure (Q2305973) (← links)
- Self-consistent clustering analysis: an efficient multi-scale scheme for inelastic heterogeneous materials (Q2309199) (← links)
- A comparative study of divisive and agglomerative hierarchical clustering algorithms (Q2317177) (← links)
- The 2016 and 2017 QBF solvers evaluations (QBFEVAL'16 and QBFEVAL'17) (Q2321317) (← links)
- Clustering time series by linear dependency (Q2329790) (← links)
- A weighted framework for unsupervised ensemble learning based on internal quality measures (Q2329902) (← links)
- Feature relevance in Ward's hierarchical clustering using the \(L_p\) norm (Q2353144) (← links)
- Tests for statistical significance of a treatment effect in the presence of hidden sub-populations (Q2353370) (← links)
- Spatial variability clustering for spatially dependent functional data (Q2361445) (← links)
- Representations for multi-document event clustering (Q2377274) (← links)
- Simulated annealing based automatic fuzzy clustering combined with ANN classification for analyzing microarray data (Q2379644) (← links)
- A Bayesian semiparametric factor analysis model for subtype identification (Q2406176) (← links)
- Possibilistic and fuzzy clustering methods for robust analysis of non-precise data (Q2411254) (← links)
- Probabilistic clustering via Pareto solutions and significance tests (Q2418354) (← links)
- Clustering of imbalanced high-dimensional media data (Q2418358) (← links)
- A novel clustering approach and prediction of optimal number of clusters: global optimum search with enhanced positioning (Q2426672) (← links)
- Adaptive evolutionary clustering (Q2435715) (← links)
- Cluster ensemble selection based on relative validity indexes (Q2441824) (← links)
- On relational possibilistic clustering (Q2507068) (← links)
- A selection process for genetic algorithm using clustering analysis (Q2633197) (← links)
- Normality-based validation for crisp clustering (Q2654242) (← links)
- A new internal index based on density core for clustering validation (Q2656786) (← links)
