1013 search results - page 90 / 203 » Comparisons Between Data Clustering Algorithms |
ICDM
2007
IEEE
14 years 3 months ago
2007
IEEE
This paper proposes an optimisation to the UK-means algorithm, which generalises the k-means algorithm to handle objects whose locations are uncertain. The location of each object...
AAIM
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Modularity, the recently defined quality measure for clusterings, has attained instant popularity in the fields of social and natural sciences. We revisit the rationale b...
ISAAC
2009
Springer
14 years 3 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
Shape clustering can significantly facilitate the automatic labeling of objects present in image collections. For example, it could outline the existing groups of pathological ce...
PKDD
2004
Springer
14 years 2 months ago
2004
Springer
Clustering has become an increasingly important task in analysing huge amounts of data. Traditional applications require that all data has to be located at the site where it is scr...