5829 search results - page 79 / 1166 » The Practice of Cluster Analysis |
112
Voted
LREC
2008
15 years 5 months ago
2008
Spectral clustering is a powerful clustering method for document data set. However, spectral clustering needs to solve an eigenvalue problem of the matrix converted from the simil...
128
Voted
ISPASS
2006
IEEE
15 years 9 months ago
2006
IEEE
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
142
Voted
SSDBM
2005
IEEE
15 years 9 months ago
2005
IEEE
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
138
Voted
MCS
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. Given an arbitrary data set, to which no particular parametrical, statistical or geometrical structure can be assumed, different clustering algorithms will in general pr...
121
Voted
CSCW
2004
ACM
15 years 3 months ago
2004
ACM
In their cooperative effort, architects depend critically on elaborate coordinative practices and artifacts. The article presents, on the basis of an in-depth study of architectura...