SliceNDice
Entity clustering algorithm
This project is about discovering clusters of similar entities that behave similarly across multiple features or views.
SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs (Nilforoshan & Shah, 2019).
21 stars
2 watching
3 forks
Language: Python
last commit: over 1 year ago
Linked from 1 awesome list
Related projects:
Repository | Description | Stars |
---|---|---|
benedekrozemberczki/musae | Implementation of a method for generating node embeddings in graph data with attributed information | 159 |
benedekrozemberczki/asne | A software implementation of a method to reduce the dimensionality of attributed graphs | 82 |
benedekrozemberczki/gemsec | A reference implementation of graph embedding with clustering using deep learning techniques | 252 |
hexgnu/wine_clustering | An application of machine learning to cluster similar data points from various sources | 0 |
galadrielbriere/clustomics | An open-source software tool for applying consensus clustering to multi-omic data for disease subtyping | 5 |
efremidze/cluster | A map annotation clustering library that efficiently groups and displays geographic pins on an iOS map view. | 1,275 |
benedekrozemberczki/clustergcn | A PyTorch implementation of a clustering algorithm for graph neural networks | 787 |
epurdom/clusterexperiment | A package providing tools for comparing and analyzing clusterings of single-cell sequencing data | 37 |
benedekrozemberczki/splitter | A PyTorch implementation of node representation learning using multiple social contexts | 213 |
ayrat555/clope | An Elixir implementation of a fast and effective clustering algorithm for transactional data | 22 |
qifeidkn/stagate | A software framework for learning spatial embeddings from high-dimensional transcriptomics data using an adaptive graph attention auto-encoder | 37 |
navdeep-g/h2o3-pam | An implementation of the PAM algorithm in H2O-3 for clustering data. | 1 |
google/uis-rnn | This library provides an implementation of an algorithm for segmenting and clustering sequential data, learning from examples. | 1,560 |
benedekrozemberczki/bane | A software implementation of a graph embedding algorithm | 86 |
benedekrozemberczki/karateclub | A Python framework for unsupervised learning on graph data using various network embedding and community detection techniques | 2,163 |