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» Robust Hierarchical Clustering
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ICML
2004
IEEE
14 years 8 months ago
Automated hierarchical mixtures of probabilistic principal component analyzers
Many clustering algorithms fail when dealing with high dimensional data. Principal component analysis (PCA) is a popular dimensionality reduction algorithm. However, it assumes a ...
Ting Su, Jennifer G. Dy
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
14 years 8 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
PR
2006
116views more  PR 2006»
13 years 7 months ago
Shared farthest neighbor approach to clustering of high dimensionality, low cardinality data
Clustering algorithms are routinely used in biomedical disciplines, and are a basic tool in bioinformatics. Depending on the task at hand, there are two most popular options, the ...
Stefano Rovetta, Francesco Masulli
PRL
1998
142views more  PRL 1998»
13 years 7 months ago
A monothetic clustering method
: The proposed divisive clustering method performs simultaneously a hierarchy of a set of objects and a monothetic characterization of each cluster of the hierarchy. A division is ...
Marie Chavent
NETCOOP
2009
Springer
14 years 2 months ago
Probabilistic Analysis of Hierarchical Cluster Protocols for Wireless Sensor Networks
Wireless sensor networks are designed to extract data from the deployment environment and combine sensing, data processing and wireless communication to provide useful information ...
Ingemar Kaj