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» Automatically labeling hierarchical clusters
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MLMI
2007
Springer
14 years 1 months ago
Automatic Labeling Inconsistencies Detection and Correction for Sentence Unit Segmentation in Conversational Speech
In conversational speech, irregularities in the speech such as overlaps and disruptions make it difficult to decide what is a sentence. Thus, despite very precise guidelines on how...
Sébastien Cuendet, Dilek Z. Hakkani-Tü...
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
WISE
2009
Springer
14 years 2 months ago
STC+ and NM-STC: Two Novel Online Results Clustering Methods for Web Searching
Results clustering in Web Searching is useful for providing users with overviews of the results and thus allowing them to restrict their focus to the desired parts. However, the ta...
Stella Kopidaki, Panagiotis Papadakos, Yannis Tzit...
ISPA
2007
Springer
14 years 1 months ago
Learning Fuzzy Concept Hierarchy and Measurement with Node Labeling
A concept hierarchy is a kind of general form of knowledge representation. Most of the previous researches on describing the concept hierarchy use tree-like crisp taxonomy. However...
Been-Chian Chien, Chih-Hung Hu, Ming-Yi Ju
ICANN
2001
Springer
13 years 12 months 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