20 citations · 50 across the 6 of their papers we have counts for
6 papers
Parallel Streaming Signature EM-tree: A Clustering Algorithm for Web Scale Applications
Christopher M. de Vries, Lance De Vine, Shlomo Geva +1
The proliferation of the web presents an unsolved problem of automatically analyzing billions of pages of natural language. We introduce a scalable algorithm that clusters hundreds…
Document Clustering Evaluation: Divergence from a Random Baseline
Christopher M. De Vries, Shlomo Geva, Andrew Trotman
Divergence from a random baseline is a technique for the evaluation of document clustering. It ensures cluster quality measures are performing work that prevents ineffective cluste…
TopSig: Topology Preserving Document Signatures
Shlomo Geva, Christopher M. De Vries
Performance comparisons between File Signatures and Inverted Files for text retrieval have previously shown several significant shortcomings of file signatures relative to inverted…
Random Indexing K-tree
Christopher M. De Vries, Lance De Vine, Shlomo Geva
Random Indexing (RI) K-tree is the combination of two algorithms for clustering. Many large scale problems exist in document clustering. RI K-tree scales well with large inputs due…
K-tree: Large Scale Document Clustering
Christopher M. De Vries, Shlomo Geva
We introduce K-tree in an information retrieval context. It is an efficient approximation of the k-means clustering algorithm. Unlike k-means it forms a hierarchy of clusters. It h…
Document Clustering with K-tree
Christopher M. De Vries, Shlomo Geva
This paper describes the approach taken to the XML Mining track at INEX 2008 by a group at the Queensland University of Technology. We introduce the K-tree clustering algorithm in…