Pages that link to "Item:Q4638918"
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The following pages link to Nonsmooth DC programming approach to clusterwise linear regression: optimality conditions and algorithms (Q4638918):
Displaying 18 items.
- DC programming algorithm for clusterwise linear \(L_1\) regression (Q1706682) (← links)
- Two curve Chebyshev approximation and its application to signal clustering (Q2009520) (← links)
- The DTC (difference of tangentially convex functions) programming: optimality conditions (Q2146366) (← links)
- Clusterwise support vector linear regression (Q2189912) (← links)
- Incremental DC optimization algorithm for large-scale clusterwise linear regression (Q2226259) (← links)
- An augmented subgradient method for minimizing nonsmooth DC functions (Q2231043) (← links)
- A difference of convex optimization algorithm for piecewise linear regression (Q2313774) (← links)
- Nonsmooth optimization algorithm for solving clusterwise linear regression problems (Q2342128) (← links)
- Nonsmooth nonconvex optimization approach to clusterwise linear regression problems (Q2355817) (← links)
- Nonsmooth DC programming approach to the minimum sum-of-squares clustering problems (Q2416961) (← links)
- Double Bundle Method for finding Clarke Stationary Points in Nonsmooth DC Programming (Q4571882) (← links)
- Robust piecewise linear <i>L</i><sub>1</sub>-regression via nonsmooth DC optimization (Q5058373) (← links)
- A unified framework for bivariate clustering and regression problems via mixed-integer linear programming (Q6103471) (← links)
- Directional differentiability, coexhausters, codifferentials and polyhedral DC functions (Q6166026) (← links)
- A boosted DC algorithm for non-differentiable DC components with non-monotone line search (Q6568924) (← links)
- On the rate of convergence of the difference-of-convex algorithm (DCA) (Q6596346) (← links)
- \(k\)-means clustering in EEG (brain waves) timeseries (Q6630475) (← links)
- Spectral clustering and long timeseries classification (Q6656031) (← links)
