845 search results - page 3 / 169 » Adaptive K-Means 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...
DMIN
2006
13 years 6 months ago
2006
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...