semvec/pypi-packages huggingface dataset:
dimensionality-reduction-msv 0.1.0
Package with the PCA, SVD and t-SNE methods for dimensionality reduction
License: MIT
Requires Python: >=3.10,<4.0
Keywords: SVD,PCA,t-SNE

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### What is it?

**dimensionality-reduction-msv** is a Python package that provides three methods (PCA, SVD, t-SNE) to apply dimensionality reduction to any dataset.

### Installing the package

Requests is available on PyPI:

```bash
pip install dimensionality-reduction-msv
```

**_Try your first TensorFlow program_**

```python
from dimensionality-reduction-msv.decomposition import PCA
import numpy as np
X = (np.random.rand(10, 10)*10).astype(int)
pca = PCA(n_components=2)
X_pca = pca.fit_transform(X)
print("Original Matrix:", '\n', X, '\n')
print("Apply dimensionality reduction with PCA to Original Matrix:", '\n', X_pca)
```

### License
[MIT](https://mit-license.org/)