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» Comparisons Between Data Clustering Algorithms
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ICPR
2002
IEEE
14 years 8 months ago
Data Clustering Using Evidence Accumulation
We explore the idea of evidence accumulation for combining the results of multiple clusterings. Initially, n d-dimensional data is decomposed into a large number of compact cluste...
Ana L. N. Fred, Anil K. Jain
ICDE
1999
IEEE
183views Database» more  ICDE 1999»
14 years 9 months ago
ROCK: A Robust Clustering Algorithm for Categorical Attributes
Clustering, in data mining, is useful to discover distribution patterns in the underlying data. Clustering algorithms usually employ a distance metric based (e.g., euclidean) simi...
Sudipto Guha, Rajeev Rastogi, Kyuseok Shim
CLASSIFICATION
2010
13 years 5 months ago
Intelligent Choice of the Number of Clusters in K-Means Clustering: An Experimental Study with Different Cluster Spreads
: The issue of determining "the right number of clusters" in K-Means has attracted considerable interest, especially in the recent years. Cluster intermix appears to be a...
Mark Ming-Tso Chiang, Boris Mirkin
SODA
2004
ACM
89views Algorithms» more  SODA 2004»
13 years 9 months ago
The number of bit comparisons used by Quicksort: an average-case analysis
The analyses of many algorithms and data structures (such as digital search trees) for searching and sorting are based on the representation of the keys involved as bit strings and...
James Allen Fill, Svante Janson
AINA
2006
IEEE
14 years 1 months ago
Modeling, Predicting and Optimizing Redistribution between Clusters on Low Latency Networks
In this paper we study the problem of scheduling messages between two parallel machines connected by a low latency network during a data redistribution. We compare two approaches....
Emmanuel Jeannot, Frédéric Wagner