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EMNLP
2004
15 years 7 months ago
Trained Named Entity Recognition using Distributional Clusters
This work applies boosted wrapper induction (BWI), a machine learning algorithm for information extraction from semi-structured documents, to the problem of named entity recogniti...
Dayne Freitag
NIPS
2004
15 years 7 months ago
Efficient Out-of-Sample Extension of Dominant-Set Clusters
Dominant sets are a new graph-theoretic concept that has proven to be relevant in pairwise data clustering problems, such as image segmentation. They generalize the notion of a ma...
Massimiliano Pavan, Marcello Pelillo
DEXAW
2007
IEEE
135views Database» more  DEXAW 2007»
16 years 23 days ago
Unsupervised Learning of Manifolds via Linear Approximations
In this paper, we examine the application of manifold learning to the clustering problem. The method used is Locality Preserving Projections (LPP), which is chosen because of its ...
Hassan A. Kingravi, M. Emre Celebi, Pragya P. Raja...
CORR
2007
Springer
198views Education» more  CORR 2007»
15 years 6 months ago
Clustering and Feature Selection using Sparse Principal Component Analysis
In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combi...
Ronny Luss, Alexandre d'Aspremont
ADMA
2007
Springer
106views Data Mining» more  ADMA 2007»
16 years 18 days ago
Topic Extraction with AGAPE
This paper uses an optimization approach to address the problem of conceptual clustering. The aim of AGAPE, which is based on the tabu-search meta-heuristic using split, merge and ...
Julien Velcin, Jean-Gabriel Ganascia