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ICDCS
2006
IEEE
14 years 3 months ago
Fault-Tolerant Clustering in Ad Hoc and Sensor Networks
In this paper, we study distributed approximation algorithms for fault-tolerant clustering in wireless ad hoc and sensor networks. A k-fold dominating set of a graph G = (V, E) is...
Fabian Kuhn, Thomas Moscibroda, Roger Wattenhofer
KDD
2007
ACM
181views Data Mining» more  KDD 2007»
14 years 9 months ago
BoostCluster: boosting clustering by pairwise constraints
Data clustering is an important task in many disciplines. A large number of studies have attempted to improve clustering by using the side information that is often encoded as pai...
Yi Liu, Rong Jin, Anil K. Jain
SODA
2008
ACM
200views Algorithms» more  SODA 2008»
13 years 10 months ago
Clustering for metric and non-metric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...
Marcel R. Ackermann, Johannes Blömer, Christi...
AAAI
2000
13 years 10 months ago
Multivariate Clustering by Dynamics
We present a Bayesian clustering algorithm for multivariate time series. A clustering is regarded as a probabilistic model in which the unknown auto-correlation structure of a tim...
Marco Ramoni, Paola Sebastiani, Paul R. Cohen
NIPS
2008
13 years 10 months ago
Measures of Clustering Quality: A Working Set of Axioms for Clustering
Aiming towards the development of a general clustering theory, we discuss abstract axiomatization for clustering. In this respect, we follow up on the work of Kleinberg, ([1]) tha...
Shai Ben-David, Margareta Ackerman