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ECML
2006
Springer
15 years 10 months ago
Subspace Metric Ensembles for Semi-supervised Clustering of High Dimensional Data
A critical problem in clustering research is the definition of a proper metric to measure distances between points. Semi-supervised clustering uses the information provided by the ...
Bojun Yan, Carlotta Domeniconi
CIVR
2008
Springer
204views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Image clustering based on a shared nearest neighbors approach for tagged collections
Browsing and finding pictures in large-scale and heterogeneous collections is an important issue, most particularly for online photo sharing applications. Since such services know...
Pierre-Alain Moëllic, Jean-Emmanuel Haugeard,...
IJCAI
2007
15 years 8 months ago
Semantic Smoothing of Document Models for Agglomerative Clustering
In this paper, we argue that the agglomerative clustering with vector cosine similarity measure performs poorly due to two reasons. First, the nearest neighbors of a document belo...
Xiaohua Zhou, Xiaodan Zhang, Xiaohua Hu
NIPS
2004
15 years 8 months ago
Proximity Graphs for Clustering and Manifold Learning
Many machine learning algorithms for clustering or dimensionality reduction take as input a cloud of points in Euclidean space, and construct a graph with the input data points as...
Miguel Á. Carreira-Perpiñán, ...
WOB
2004
233views Bioinformatics» more  WOB 2004»
15 years 8 months ago
Recent Advances in Gene Expression Data Clustering: A Case Study with Comparative Results
Several advanced techniques have been proposed for data clustering and many of them have been applied to gene expression data, with partial success. The high dimensionality and the...
George Barreto Bezerra, Geraldo M. A. Cança...