Sciweavers

452 search results - page 8 / 91
» On Weighting Clustering
Sort
View
78
Voted
ICPR
2010
IEEE
14 years 9 months ago
On Dynamic Weighting of Data in Clustering with K-Alpha Means
Although many methods of refining initialization have appeared, the sensitivity of K-Means to initial centers is still an obstacle in applications. In this paper, we investigate a...
Sibao Chen, Haixian Wang, Bin Luo
108
Voted
ICASSP
2010
IEEE
14 years 12 months ago
Swift: Scalable weighted iterative sampling for flow cytometry clustering
Flow cytometry (FC) is a powerful technology for rapid multivariate analysis and functional discrimination of cells. Current FC platforms generate large, high-dimensional datasets...
Iftekhar Naim, Suprakash Datta, Gaurav Sharma, Jam...
88
Voted
INFOCOM
2006
IEEE
15 years 5 months ago
Optimal Distributed Detection in Clustered Wireless Sensor Networks: The Weighted Median
− 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...
Qingjiang Tian, Edward J. Coyle
ECML
2006
Springer
15 years 1 months ago
B-Matching for Spectral Clustering
We propose preprocessing spectral clustering with b-matching to remove spurious edges in the adjacency graph prior to clustering. B-matching is a generalization of traditional maxi...
Tony Jebara, Vlad Shchogolev
125
Voted
SODA
2012
ACM
223views Algorithms» more  SODA 2012»
13 years 2 months ago
Data reduction for weighted and outlier-resistant clustering
Statistical data frequently includes outliers; these can distort the results of estimation procedures and optimization problems. For this reason, loss functions which deemphasize ...
Dan Feldman, Leonard J. Schulman