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» On Weighting Clustering
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FSMNLP
2008
Springer
15 years 1 months ago
Learning with Weighted Transducers
Weighted finite-state transducers have been used successfully in a variety of natural language processing applications, including speech recognition, speech synthesis, and machine ...
Corinna Cortes, Mehryar Mohri
80
Voted
IRAL
2003
ACM
15 years 4 months ago
Keyword-based document clustering
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
Seung-Shik Kang
98
Voted
ICANN
2003
Springer
15 years 4 months ago
Weighted Self-Organizing Maps: Incorporating User Feedback
One interesting way of accessing collections of multimedia objects is by methods of visualization and clustering. Growing self-organizing maps provide such a solution, which adapts...
Andreas Nürnberger, Marcin Detyniecki
128
Voted
ALGOSENSORS
2006
Springer
15 years 3 months ago
Self-stabilizing Weight-Based Clustering Algorithm for Ad Hoc Sensor Networks
Ad hoc sensor networks consist of large number of wireless sensors that communicate with each other in the absence of a xed infrastructure. Fast self-recon guration and power eci...
Colette Johnen, Le Huy Nguyen
HIPC
2000
Springer
15 years 3 months ago
A Weight Based Distributed Clustering Algorithm for Mobile ad hoc Networks
In this paper, we propose a distributed clustering algorithm for a multi-hop packet radio network. These types of networks, also known as ad hoc networks, are dynamic in nature due...
Mainak Chatterjee, Sajal K. Das, Damla Turgut