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C implementation of algorithms to find the Density-Friendly graph decomposition
Master programming by recreating your favorite technologies from scratch.
Publication-quality network visualisations in python
A clustering algorithm that first finds the high-density regions (cluster-cores) of the data and then clusters the remaining points by hill-climbing. Such seedings act as more stable and expressive…
Generate embeddings from large-scale graph-structured data.
Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"
gBolt--very fast implementation for gSpan algorithm in data mining
The ParSeMiS project (Parallel and Sequential Graph Mining Suite) searches for frequent, interesting substructures in graph databases. https://www2.cs.fau.de/EN/research/zold/ParSeMiS/index.html
Motif-based weighted spectral clustering in Python, R and Julia
Algorithms for Frequent-pattern Mining
《大数据挖掘技术》@复旦 课程项目,试图从搜狗实验室用户查询日志数据(2008)中找出搜索记录中有较高支持度关键词的频繁二项集。在实现层面上,我搭建了一个由五台服务器组成的微型 Hadoop 集群,并且用 Python 实现了 Parallel FP-Growth 算法中的三个 MapReduce 过程。
Apriori and fp-growth implement of python
RDPWrap.ini for RDP Wrapper Library by Stas'M
The code for paper "FastDEC: Clustering By Fast Dominance Estimation "
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
存放JAVA开发的设计思想、算法:《剑指Offer》、《编程珠玑》、《深入理解Java虚拟机:JVM高级特性与最佳实践》、《重构-改善既有代码的设计 中文版》、《clean_code(中文完整版)》、《Java编程思想(第4版)》、《Java核心技术 卷I (第8版)》、《Quartz_Job+Scheduling_Framework》;一些大的上传不上来的文件在README