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LWA
2007
15 years 9 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst
SDM
2008
SIAM
140views Data Mining» more  SDM 2008»
15 years 9 months ago
Creating a Cluster Hierarchy under Constraints of a Partially Known Hierarchy
Although clustering under constraints is a current research topic, a hierarchical setting, in which a hierarchy of clusters is the goal, is usually not considered. This paper trie...
Korinna Bade, Andreas Nürnberger
SODA
2008
ACM
82views Algorithms» more  SODA 2008»
15 years 9 months ago
A plant location guide for the unsure
This paper studies an extension of the k-median problem where we are given a metric space (V, d) and not just one but m client sets {Si V }m i=1, and the goal is to open k facili...
Barbara M. Anthony, Vineet Goyal, Anupam Gupta, Vi...
DMDW
2001
127views Management» more  DMDW 2001»
15 years 9 months ago
MAC: Conceptual data modeling for OLAP
In this paper we address the issue of conceptual modeling of data used in multidimensional analysis. We view the problem from the end-user point of view and we describe a set of r...
Aris Tsois, Nikos Karayannidis, Timos K. Sellis
NIPS
2003
15 years 9 months ago
Locality Preserving Projections
Many problems in information processing involve some form of dimensionality reduction. In this paper, we introduce Locality Preserving Projections (LPP). These are linear projecti...
Xiaofei He, Partha Niyogi