117 search results - page 4 / 24 » Constrained locally weighted clustering |
ICCBR
1997
Springer
15 years 1 months ago
1997
Springer
Previous work on feature weighting for case-based learning algorithms has tended to use either global weights or weights that vary over extremely local regions of the case space. T...
INFOCOM
2006
IEEE
15 years 3 months ago
2006
IEEE
− In a clustered, multi-hop sensor network, a large number of inexpensive, geographically-distributed sensor nodes each use their observations of the environment to make local ha...
VISUALIZATION
2000
IEEE
15 years 2 months ago
2000
IEEE
We present an algorithm for compressing 2D vector fields that preserves topology. Our approach is to simplify the given data set using constrained clustering. We employ different...
66
Voted
ICASSP
2010
IEEE
14 years 9 months ago
2010
IEEE
Given a set of monophonic, harmonic sound sources (e.g. human voices or wind instruments), multi-pitch estimation (MPE) is the task of determining the instantaneous pitches of eac...
85
Voted
BMCBI
2008
14 years 9 months ago
2008
Background: The traditional (unweighted) k-means is one of the most popular clustering methods for analyzing gene expression data. However, it suffers three major shortcomings. It...