292 search results - page 3 / 59 » Discriminative K-means for Clustering |
ALGORITHMICA
2005
13 years 5 months ago
2005
We present polynomial upper and lower bounds on the number of iterations performed by the k-means method (a.k.a. Lloyd's method) for k-means clustering. Our upper bounds are ...
CORR
2011
Springer
12 years 9 months ago
2011
Springer
— This paper shows that the k-means quantization of a signal can be interpreted both as a crisp indicator function and as a fuzzy membership assignment describing fuzzy clusters ...
CORR
2008
Springer
13 years 5 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...
KES
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. This work presents a clustering method which can be applied to relational knowledge bases. Namely, it can be used to discover interesting groupings of semantically annota...
AIIA
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. A clustering method is presented which can be applied to relational knowledge bases. It can be used to discover interesting groupings of resources through their (semantic...