# mupet-subspace-clustering

**Repository Path**: lou_wei_yao/mupet-subspace-clustering

## Basic Information

- **Project Name**: mupet-subspace-clustering
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-01
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# MUPET: Sparse subspace clustering
This repo contains code to cluster mouse vocalizations using sparse subspace clustering.

## Instructions
1. Download a sample dataset from [here](https://github.com/mvansegbroeck/mupet/wiki/MUPET-wiki).
1. Preprocess the data
    - Use [MUPET](https://github.com/mvansegbroeck/mupet) to create a dataset
    - Load `workplace/datasets/~.mat` and run `prepare_data.m` to collect the syllables detected by MUPET
    -  A file such as `C57_all_RUs.mat` is generated
    -  **Note**: for the DBA dataset, we only use the first 9000 syllables
    - Run `segment_whole_dataset.m` to separate the whole dataset into inlier dataset and outlier dataset

2. Clustering: you can use jupyter notebook "main" to get the results step by step

3. Plot centers and cluster outliers: run `look_center.m` to depict the cluster centers