SHReC

Brought to you by: bmartins

Last Update: 2013-03-07

Get an email when there's a new version of SHReC

SHReC is a Java implementation of an hierarchical document clustering algorithm based on a
statistical co-occurence measure called subsumption, which is particularly suited to the problem of
on-line "search results" clustering.

Project Activity

See All Activity >

Follow SHReC

SHReC Web Site

Other Useful Business Software

Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Built on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.

Create free account

Rate This Project

User Reviews

Be the first to post a review of SHReC!

Additional Project Details

Registered

2004-11-09

Report inappropriate content

Full-stack observability with actually useful AI | Grafana Cloud

Our generous forever free tier includes the full platform, including the AI Assistant, for 3 users with 10k metrics, 50GB logs, and 50GB traces.

Create free account

Recommended Projects

NestedCluster
Probabilistic biclustering method for protein complex identification using quantitative AP-MS data. Implementation of plain and hierarchical form of Dirichlet process priors for two-stage clustering.
OASIS Search Engine
Distributed search engine for the Internet and intranets. Parallel search in heterogeneous indexes, topic-oriented harvester, CORBA interface to legacy document databases. Document clustering with neural networks.
Density-ratio based clustering
Discovering clusters with varying densities
Sampling-k-means
This project involves implementation and testing of sampling based algorithms the k-means clustering.
IDEAL
IDEAL means Information DEALer. A System wich provides the news and articles which the user wants. Using Tomcat, Struts, Java, MySQL an AgentSystem, Clustering, TF/IDF, Document Parser and it is multi user able.