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EDBT
2008
ACM
167views Database» more  EDBT 2008»
14 years 7 months ago
HISSCLU: a hierarchical density-based method for semi-supervised clustering
In situations where class labels are known for a part of the objects, a cluster analysis respecting this information, i.e. semi-supervised clustering, can give insight into the cl...
Christian Böhm, Claudia Plant
PRL
2006
249views more  PRL 2006»
13 years 7 months ago
Image segmentation by histogram thresholding using hierarchical cluster analysis
This paper proposes a new method of image thresholding by using cluster organization from the histogram of an image. A new similarity measure proposed is based on inter-class vari...
Agus Zainal Arifin, Akira Asano
ICANN
2001
Springer
14 years 6 days ago
Clustering of EEG-Segments Using Hierarchical Agglomerative Methods and Self-Organizing Maps
EEG segments recorded during microsleep events were transformed to the frequency domain and were subsequently clustered without the common summation of power densities in spectral ...
David Sommer, Martin Golz
SDM
2003
SIAM
134views Data Mining» more  SDM 2003»
13 years 9 months ago
Hierarchical Document Clustering using Frequent Itemsets
A major challenge in document clustering is the extremely high dimensionality. For example, the vocabulary for a document set can easily be thousands of words. On the other hand, ...
Benjamin C. M. Fung, Ke Wang, Martin Ester