4039 search results - page 263 / 808 » A Method for Dynamic Clustering of Data |
162
click to vote
IJAR
2007
15 years 6 months ago
2007
We present an extension of the fuzzy c-Means algorithm, which operates simultaneously on different feature spaces—so-called parallel universes—and also incorporates noise det...
176
click to vote
ISAAC
2009
Springer
16 years 1 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...
183
click to vote
RECOMB
2005
Springer
16 years 7 months ago
2005
Springer
Abstract. Identification of homologous chromosomal regions is important for understanding evolutionary processes that shape genome evolution, such as genome rearrangements and larg...
230
click to vote
DAGSTUHL
2009
15 years 7 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
210
click to vote
EDBT
2010
ACM
15 years 10 months ago
2010
ACM
Online Analytical Processing (OLAP) is a popular technique for explorative data analysis. Usually, a fixed set of dimensions (such as time, place, etc.) is used to explore and ana...