The following pages link to k-means++ (Q33424):
Displaying 49 items.
- The Planar k-Means Problem is NP-Hard (Q3605504) (← links)
- Approximation Algorithms for Tensor Clustering (Q3648764) (← links)
- (Q4558482) (← links)
- A rough-and-ready cluster-based approach for extracting finite-time coherent sets from sparse and incomplete trajectory data (Q4591743) (← links)
- A Clustering Approach to Constrained Binary Matrix Factorization (Q4631260) (← links)
- Local Search Yields a PTAS for $k$-Means in Doubling Metrics (Q4634026) (← links)
- Local Search Yields Approximation Schemes for $k$-Means and $k$-Median in Euclidean and Minor-Free Metrics (Q4634032) (← links)
- Non-convex clustering via proximal alternating linearized minimization method (Q4634919) (← links)
- (Q4636989) (← links)
- Decomposition/Aggregation K-means for Big Data (Q4965129) (← links)
- (Q4969077) (← links)
- Randomization methods for assessing data analysis results on real‐valued matrices (Q4969690) (← links)
- Approximate Clustering with Same-Cluster Queries (Q4993306) (← links)
- (Q4998948) (← links)
- Greedy minimization of weakly supermodular set functions (Q5002622) (← links)
- (Q5009501) (← links)
- Cluster-based hierarchical network model of the fluidic pinball – cartographing transient and post-transient, multi-frequency, multi-attractor behaviour (Q5022961) (← links)
- Experimental data-based reduced-order model for analysis and prediction of flame transition in gas turbine combustors (Q5032249) (← links)
- An improved primal-dual approximation algorithm for the <i>k</i>-means problem with penalties (Q5048009) (← links)
- Local Versions of Sum-of-Norms Clustering (Q5048022) (← links)
- Application to IoT Network Control: Predictive Network Control Based on Real-World Information (Q5049725) (← links)
- (Q5053292) (← links)
- FCA2VEC: Embedding Techniques for Formal Concept Analysis (Q5054975) (← links)
- A Shift Selection Strategy for Parallel Shift-invert Spectrum Slicing in Symmetric Self-consistent Eigenvalue Computation (Q5066581) (← links)
- Smoothing the Gap Between NP and ER (Q5071086) (← links)
- Improving <i>K</i>-means method via shrinkage estimation and LVQ algorithm (Q5082771) (← links)
- SOS-SDP: An Exact Solver for Minimum Sum-of-Squares Clustering (Q5106412) (← links)
- (Q5111230) (← links)
- (Q5111721) (← links)
- Better Guarantees for $k$-Means and Euclidean $k$-Median by Primal-Dual Algorithms (Q5117377) (← links)
- An Improved Cost Function for Hierarchical Cluster Trees (Q5120155) (← links)
- (Q5136247) (← links)
- Efficient Simulation Designs for Valuation of Large Variable Annuity Portfolios (Q5139818) (← links)
- EFFICIENT DYNAMIC HEDGING FOR LARGE VARIABLE ANNUITY PORTFOLIOS WITH MULTIPLE UNDERLYING ASSETS (Q5140085) (← links)
- (Q5149034) (← links)
- The fast clustering algorithm for the big data based on K-means (Q5150104) (← links)
- A Kernel Embedding–Based Approach for Nonstationary Causal Model Inference (Q5157181) (← links)
- (Q5159417) (← links)
- Core–periphery structure in directed networks (Q5161057) (← links)
- (Q5214265) (← links)
- Applied Multivariate Statistical Analysis (Q5234538) (← links)
- Failure Probability Estimation of Linear Time Varying Systems by Progressive Refinement of Reduced Order Models (Q5237184) (← links)
- An Initialization Method Based on Hybrid Distance for <i>k</i>-Means Algorithm (Q5380869) (← links)
- A Nonparametric Clustering Algorithm with a Quantile-Based Likelihood Estimator (Q5383797) (← links)
- The Alternating Descent Conditional Gradient Method for Sparse Inverse Problems (Q5737722) (← links)
- Mean-field theory of graph neural networks in graph partitioning (Q5854107) (← links)
- A Dimension Reduction Technique for Large-Scale Structured Sparse Optimization Problems with Application to Convex Clustering (Q5869815) (← links)
- Noisy, Greedy and Not so Greedy k-Means++ (Q5874485) (← links)
- <i>k</i>-POD: A Method for <i>k</i>-Means Clustering of Missing Data (Q5884415) (← links)
