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KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 9 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
ICDAR
2011
IEEE
12 years 8 months ago
Writer Retrieval - Exploration of a Novel Biometric Scenario Using Perceptual Features Derived from Script Orientation
—We propose a novel scenario called “writer retrieval” consisting in the retrieval from a set of documents all those produced by the same writer. The retrieval is based on a ...
Vlad Atanasiu, Laurence Likforman-Sulem, Nicole Vi...
MICAI
2007
Springer
14 years 3 months ago
Fuzzifying Clustering Algorithms: The Case Study of MajorClust
Among various document clustering algorithms that have been proposed so far, the most useful are those that automatically reveal the number of clusters and assign each target docum...
Eugene Levner, David Pinto, Paolo Rosso, David Alc...
HT
1996
ACM
14 years 1 months ago
HyPursuit: A Hierarchical Network Search Engine that Exploits Content-Link Hypertext Clustering
HyPursuit is a new hierarchical network search engine that clusters hypertext documents to structure a given information space for browsing and search activities. Our content-link...
Ron Weiss, Bienvenido Vélez, Mark A. Sheldo...
NAACL
2004
13 years 10 months ago
Cross-Document Coreference on a Large Scale Corpus
In this paper, we will compare and evaluate the effectiveness of different statistical methods in the task of cross-document coreference resolution. We created entity models for d...
Chung Heong Gooi, James Allan