News & Highlights
- Co-organized Workshop: MultiClust Workshop at ACM SIGKDD 2013
- Minimizing the variance of cluster mixture models for clustering uncertain objects
- A Segment-based Approach To Clustering Multi-Topic Documents
- Exploring Dictionary-based Semantic Relatedness in Labeled Tree Data
- Projective Clustering Ensembles
- Uncertain Centroid based Partitional Clustering of Uncertain Data
- XML Document Clustering Using Structure-Preserving Flat Representation of XML Content and Structure
- Co-organized Workshop: 3Clust Workshop at PAKDD 2012
- A Statistical Model for Topically Segmented Documents
- SIGIR Report on INEX 2010
Tags
classification clustering clustering ensembles document clustering DSA email mining fuzzy logics information extraction linear programming mass spectrometry optimization PDF documents projective clustering semantic relatedness similarity detection time series uncertain data web content mining web personalization web usage mining web wrapping WordNet word sense disambiguation wrapping XML XML content clustering XML mining XML structure clustering
Tag Archives: hierarchical clustering
A Statistical Model for Topically Segmented Documents
G. Ponti, A. Tagarelli, G. Karypis. A Statistical Model for Topically Segmented Documents. Fourteenth International Conference on Discovery Science (DS’11), LNAI 6926, pp. 247-261. Espoo, Finland, October 5-7, 2011. PDF
A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach
F. Gullo, G. Ponti, A. Tagarelli, S. Greco. A Hierarchical Algorithm for Clustering Uncertain Data via an Information-Theoretic Approach. 8th IEEE International Conference on Data Mining (ICDM ’08), pp. 821-826. Pisa, Italy, December 15-19, 2008.