256 search results - page 1 / 52 » A practical comparison of two K-Means clustering algorithms |
CORR
2008
Springer
14 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...
ICIC
2005
Springer
14 years 10 months ago
2005
Springer
This paper proposes two methods which take advantage of k -mean clustering algorithm to decrease the number of support vectors (SVs) for the training of support vector machine (SVM...
ISAAC
2009
Springer
14 years 11 months ago
2009
Springer
The k-means algorithm is the method of choice for clustering large-scale data sets and it performs exceedingly well in practice. Most of the theoretical work is restricted to the c...
TJS
2010
14 years 3 months ago
2010
This paper presents a novel host-based combinatorial method based on k-Means clustering and ID3 decision tree learning algorithms for unsupervised classification of anomalous and ...
ALGORITHMICA
2005
14 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 ...