151 search results - page 10 / 31 » Fuzzifying Clustering Algorithms: The Case Study of MajorClu... |
BVAI
2005
Springer
14 years 1 months ago
2005
Springer
We propose an algorithm that groups points similarly to how human observers do. It is simple, totally unsupervised and able to find clusters of complex and not necessarily convex s...
AAAI
2010
13 years 9 months ago
2010
Gaussian Mixture Model (GMM) is one of the most popular data clustering methods which can be viewed as a linear combination of different Gaussian components. In GMM, each cluster ...
AUSAI
2010
Springer
13 years 5 months ago
2010
Springer
We study the problem of clustering uncertain objects whose locations are uncertain and described by probability density functions. We analyze existing pruning algorithms and experi...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In Multi-Objective Problems (MOPs) involving uncertainty, each solution might be associated with a cluster of performances in the objective space depending on the possible scenari...
ESWA
2007
13 years 7 months ago
2007
ct 9 Marketing segmentation is widely used for targeting a smaller market and is useful for decision makers to reach all customers effec10 tively with one basic marketing mix. Alt...