5880 search results - page 90 / 1176 » Data Clustering: A Review |
ICTAI
2007
IEEE
14 years 2 months ago
2007
IEEE
Many real datasets have uncertain categorical attribute values that are only approximately measured or imputed. Uncertainty in categorical data is commonplace in many applications...
ICDM
2002
IEEE
14 years 21 days 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...
ICDE
2012
IEEE
11 years 10 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...
PR
2006
13 years 7 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...
SSDBM
2006
IEEE
14 years 1 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...