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+# TSVMs
+
+A collection of Twin Support Vector Machine (TSVM) implementations for pattern classification.
+
+## Implementations
+
+- **TSVM** - Twin Support Vector Machine
+- **UTSVM** - Unsupervised Twin Support Vector Machine
+- **DTSVM** - Deep Twin Support Vector Machine
+- **LSTSVM** - Least Squares Twin Support Vector Machine
+- **DLSTSVM** - Deep Least Squares Twin Support Vector Machine
+- **RUTSVM** - Robust Unsupervised Twin Support Vector Machine
+- **RULSTSVM** - Robust Unsupervised Least Squares Twin Support Vector Machine
+
+## Usage
+
+Each implementation follows a similar interface:
+
+```python
+from TSVM import TSVM
+
+# Prepare your data
+# X: features (n_samples, n_features)
+# y: labels (n_samples, 1) with values +1 or -1
+# C1, C2: regularization parameters
+
+# Create and train the model
+model = TSVM(X, y, C1=1.0, C2=1.0)
+model.fit()
+
+# Make predictions
+model.predict(x_test)
+predictions = model.get_preds()
+```
+
+## Requirements
+
+- numpy
+- cvxopt
+
+## References
+
+- TSVM: [IEEE Paper](https://ieeexplore.ieee.org/document/4135685)
+- UTSVM: [ScienceDirect](https://www.sciencedirect.com/science/article/abs/pii/S0893608012002304)
+- DTSVM: [IEEE Paper](https://ieeexplore.ieee.org/abstract/document/7022580)
+- LSTSVM: [ScienceDirect](https://www.sciencedirect.com/science/article/abs/pii/S0957417408006854)
+- RUTSVM: [ScienceDirect](https://www.sciencedirect.com/science/article/abs/pii/S0031320319304510)
+
+## Author
+
+Saeed Khosravi