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138
Voted
KDD
2004
ACM
103views Data Mining» more  KDD 2004»
16 years 6 months ago
An objective evaluation criterion for clustering
We propose and test an objective criterion for evaluation of clustering performance: How well does a clustering algorithm run on unlabeled data aid a classification algorithm? The...
Arindam Banerjee, John Langford
WWW
2010
ACM
16 years 1 months ago
Web-scale k-means clustering
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
D. Sculley
152
Voted
ICPR
2002
IEEE
15 years 11 months ago
A Comparison of Techniques for Automatic Clustering of Handwritten Characters
This work reports experiments with four hierarchical clustering algorithms and two clustering indices for online handwritten characters. The main motivation of the work is to deve...
Vuokko Vuori, Jorma Laaksonen
INFOCOM
2002
IEEE
15 years 11 months ago
Clustering Overhead for Hierarchical Routing in Mobile Ad hoc Networks
Numerous clustering algorithms have been proposed that can support routing in mobile ad hoc networks (MANETs). However, there is very little formal analysis that considers the comm...
John Sucec, Ivan Marsic
PAKDD
2001
ACM
148views Data Mining» more  PAKDD 2001»
15 years 10 months ago
Scalable Hierarchical Clustering Method for Sequences of Categorical Values
Data clustering methods have many applications in the area of data mining. Traditional clustering algorithms deal with quantitative or categorical data points. However, there exist...
Tadeusz Morzy, Marek Wojciechowski, Maciej Zakrzew...