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» A Semi-Supervised Document Clustering Algorithm Based on EM
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CIKM
2008
Springer
15 years 3 months ago
A consensus based approach to constrained clustering of software requirements
Managing large-scale software projects involves a number of activities such as viewpoint extraction, feature detection, and requirements management, all of which require a human a...
Chuan Duan, Jane Cleland-Huang, Bamshad Mobasher
ECIR
2006
Springer
15 years 3 months ago
Improving Quality of Search Results Clustering with Approximate Matrix Factorisations
Abstract. In this paper we show how approximate matrix factorisations can be used to organise document summaries returned by a search engine into meaningful thematic categories. We...
Stanislaw Osinski
CICLING
2010
Springer
15 years 5 months ago
A General Bio-inspired Method to Improve the Short-Text Clustering Task
"Short-text clustering" is a very important research field due to the current tendency for people to use very short documents, e.g. blogs, text-messaging and others. In s...
Diego Ingaramo, Marcelo Errecalde, Paolo Rosso
IADIS
2004
15 years 3 months ago
'surfing for knowledge' finding semantically similar Web clusters
In this paper we present our technique for finding semantically similar clusters within web documents obtained from a set of queries retrieved from the Google search engine. This ...
David Cleary, Diarmuid O'Donoghue
PAKDD
2007
ACM
224views Data Mining» more  PAKDD 2007»
15 years 7 months ago
Graph Nodes Clustering Based on the Commute-Time Kernel
This work presents a kernel method for clustering the nodes of a weighted, undirected, graph. The algorithm is based on a two-step procedure. First, the sigmoid commute-time kernel...
Luh Yen, François Fouss, Christine Decaeste...