2 search results - page 1 / 1 » James-Stein shrinkage to improve k-means cluster analysis |
52
Voted
CSDA
2010
14 years 10 months ago
2010
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
96
Voted
CORR
2008
Springer
14 years 10 months ago
2008
Springer
The k-means method is a widely used clustering algorithm. One of its distinguished features is its speed in practice. Its worst-case running-time, however, is exponential, leaving...