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» On Weighting Clustering
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SDM
2009
SIAM
162views Data Mining» more  SDM 2009»
14 years 1 months ago
Diversity-Based Weighting Schemes for Clustering Ensembles.
Clustering ensembles has been recently recognized as an emerging approach to provide more robust solutions to the data clustering problem. Current methods of clustering ensembles ...
Andrea Tagarelli, Francesco Gullo, Sergio Greco
TREC
2008
13 years 6 months ago
Weighted PageRank: Cluster-Related Weights
PageRank is a way to rank Web pages taking into account hyper-link structure of the Web. PageRank provides efficient and simple method to find out ranking of Web pages exploiting ...
Danil Nemirovsky, Konstantin Avrachenkov
LWA
2004
13 years 6 months ago
Experiments in Term Weighting and Keyword Extraction in Document Clustering
We study methods to initialize or bias different clustering methods using prior information about the "importance" of a keyword w.r.t. the whole document collection or a...
Christian Borgelt, Andreas Nürnberger
IJCAI
2003
13 years 6 months ago
Data Clustering: Principal Components, Hopfield and Self-Aggregation Networks
We present a coherent framework for data clustering. Starting with a Hopfield network, we show the solutions for several well-motivated clustering objective functions are principa...
Chris H. Q. Ding
CIKM
2006
Springer
13 years 6 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu