MyPaperWithCode

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MyPaperWithCode

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# My paper with code

I will share code and datasets used in my papers here.

- [LSEC: Large-scale spectral ensemble clustering](/Large-scale_spectral_ensemble_clustering/README.md):available at [arXiv](https://arxiv.org/abs/2106.09852).

- [Divide-and-conquer based Large-Scale Spectral Clustering](/Divide-and-conquer-based-Large-Scale-Spectral-Clustering/README.md): available at [arXiv](https://arxiv.org/abs/2104.15042).
    [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/divide-and-conquer-based-large-scale-spectral/image-document-clustering-on-pendigits)](https://paperswithcode.com/sota/image-document-clustering-on-pendigits?p=divide-and-conquer-based-large-scale-spectral)
    [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/divide-and-conquer-based-large-scale-spectral/image-clustering-on-pendigits)](https://paperswithcode.com/sota/image-clustering-on-pendigits?p=divide-and-conquer-based-large-scale-spectral)
    [![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/divide-and-conquer-based-large-scale-spectral/image-clustering-on-usps)](https://paperswithcode.com/sota/image-clustering-on-usps?p=divide-and-conquer-based-large-scale-spectral)

- [Ensemble Learning for Spectral Clustering](Ensemble-Learning-for-Spectral-Clustering/README.md): Published in ICMD 2020.
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-australian)](https://paperswithcode.com/sota/image-document-clustering-on-australian?p=ensemble-learning-for-spectral-clustering)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-ba)](https://paperswithcode.com/sota/image-document-clustering-on-ba?p=ensemble-learning-for-spectral-clustering)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-iris)](https://paperswithcode.com/sota/image-document-clustering-on-iris?p=ensemble-learning-for-spectral-clustering)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-jaffe-1)](https://paperswithcode.com/sota/image-document-clustering-on-jaffe-1?p=ensemble-learning-for-spectral-clustering)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-pixraw10p)](https://paperswithcode.com/sota/image-document-clustering-on-pixraw10p?p=ensemble-learning-for-spectral-clustering)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-warppie10p)](https://paperswithcode.com/sota/image-document-clustering-on-warppie10p?p=ensemble-learning-for-spectral-clustering)
[![PWC](https://img.shields.io/endpoint.svg?url=https://paperswithcode.com/badge/ensemble-learning-for-spectral-clustering/image-document-clustering-on-wine)](https://paperswithcode.com/sota/image-document-clustering-on-wine?p=ensemble-learning-for-spectral-clustering)

- [Distributed Collaborative Feature Selection Based on Intermediate Representation](/Distributed_Collaborative_FeatureSelection_Based_on_Intermediate_Representation/README.md): Published in IJCAI 2019.

- [Large scale spectral clustering using sparse representation based on hubness](/Large-scale-spectral-clustering-using-sparse-representation-based-on-hubness/README.md): Published in CBDCom 2018.
    - Best paper award
---

## To do

[ ] An oversampling framework for imbalanced classification based on Laplacian eigenmaps [Neurocomputing](https://doi.org/10.1016/j.neucom.2020.02.081)

[ ] Ensemble feature learning to identify risk factors for predicting secondary cancer [International journal of medical sciences](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6643128/)

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