Zotero is a free, easy-to-use tool to help you collect, organize, annotate, cite, and share your research sources.

Minima is a one-size-fits-all Jekyll theme for writers.

Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

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🚀从 PDF 到全可编辑 PPT 的智能转换工具，让 NotebookLM 的演示文稿真正为你所用。

Green Frog https://github.com/redleafnew/zotero-updateifs 的easyScholar数据版。更新影响因子，其他一系列工具，详见Readme

量化研究-券商金工研报复现

AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets

A plugin that will automatically download PDFs of zotero items from sci-hub

Zotero显示CCF分区，JCR分区，影响因子, 中科院分区。

Cayman is a Jekyll theme for GitHub Pages

[IJCAI 2019] "Robust Flexible Feature Selection via Exclusive L21 Regularization", Di Ming, Chris Ding.

The code of the paper "Robust and Sparse Principal Component Analysis With Adaptive Loss Minimization for Feature Selection"

Auto-UFSTool - An Automatic MATLAB Toolbox for Unsupervised Feature Selection

(TPAMI) 2022 paper "Coordinate Descent Method for k-means" is accepted by IEEE Transactions on Pattern Analysis and Machine Intelligence

collections for advanced, novel multi-view clustering methods(papers , codes and datasets)

Code: TPAMI2020-Truncated Robust Principle Component Analysis with A General Optimization Framework"

A collection of incomplete multi-view clustering paper

用ASP.NET MVC, VS 2017开发的用于教学演示的电子商务网站项目

Clustering Algorithms and their Application to Facial Image Analysis

Discriminative Feature Selection via A Structured Sparse Subspace Learning Module

Robust Non-Negative Matrix Factorization

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

NeurIPS 2020: Learning Feature Sparse Principal Subspace

Fast Spectral Clustering based on RandomWalk Laplacian (FRWL) for Large Scale Clustering- ICASSP 2020

Data sets for multi-view learning.