8776 search results - page 123 / 1756 » Robust Data Clustering |
151
Voted
ICDM
2002
IEEE
15 years 10 months ago
2002
IEEE
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
180
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ICDE
2012
IEEE
13 years 7 months ago
2012
IEEE
—Traditional clustering algorithms identify just a single clustering of the data. Today’s complex data, however, allow multiple interpretations leading to several valid groupin...
159
Voted
PR
2006
15 years 5 months ago
2006
Clustering for the analysis of the genes organizes the patterns into groups by the similarity of the dataset and has been used for identifying the functions of the genes in the cl...
153
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TITB
2010
14 years 11 months ago
2010
Abstract--One of the fundamental goals of computational neuroscience is the study of anatomical features that reflect the functional organization of the brain. The study of physica...
163
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SSDBM
2006
IEEE
15 years 11 months ago
2006
IEEE
The detection of correlations between different features in high dimensional data sets is a very important data mining task. These correlations can be arbitrarily complex: One or...