845 search results - page 8 / 169 » Adaptive K-Means Clustering |
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IASSE
2004
14 years 11 months ago
2004
Accurate demand forecasting remains difficult and challenging in today's competitive and dynamic business environment, but even a little improvement in demand prediction may ...
CLUSTER
2000
IEEE
15 years 1 months ago
2000
IEEE
UAI
2004
14 years 11 months ago
2004
In this paper, a similarity-driven cluster merging method is proposed for unsupervised fuzzy clustering. The cluster merging method is used to resolve the problem of cluster valid...
EDBT
2004
ACM
15 years 9 months ago
2004
ACM
We present a novel anytime version of partitional clustering algorithm, such as k-Means and EM, for time series. The algorithm works by leveraging off the multi-resolution property...
68
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ICDM
2005
IEEE
15 years 3 months ago
2005
IEEE
Adaptive clustering uses external feedback to improve cluster quality; past experience serves to speed up execution time. An adaptive clustering environment is proposed that uses ...