Metadata-Version: 2.1
Name: funEnsemble
Version: 0.0.4
Summary: Ensemble Clustering for Functional Data
Home-page: https://github.com/Newman251/funEnsemble
Author: Luke Newman
Author-email: newmanlu@tcd.ie
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE

# funEnsemble

Clustering Functional Data Using Ensemble Clustering

## Instructions

1. Install:

```
pip install funEnsemble
```

2. Call the data decomposition module

```python
import funEnsemble as fe

# Data Decomposition Step
data_smooth, mean, principal_componenets, eigen_functions = fe.functional_data_decomposition(data, eigen_dimensions, b_spline_length)

```

3. Call the ensemble clustering module

```python

# Ensemble Clustering Step
membership_matrices, labels = fe.functional_data_clustering(principal_components, K)
```# funEnsemble
