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» Comparing clusterings: an axiomatic view
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IJCNN
2008
IEEE
16 years 13 days ago
Two-level clustering approach to training data instance selection: A case study for the steel industry
— Nowadays, huge amounts of information from different industrial processes are stored into databases and companies can improve their production efficiency by mining some new kn...
Heli Koskimäki, Ilmari Juutilainen, Perttu La...
JODL
2006
131views more  JODL 2006»
15 years 6 months ago
Keyframe-based video summarization using Delaunay clustering
Recent advances in technology have made tremendous amount of multimedia information available to the general population. An efficient way of dealing with this new development is t...
Padmavathi Mundur, Yong Rao, Yelena Yesha
EMNLP
2008
15 years 7 months ago
Unsupervised Models for Coreference Resolution
We present a generative model for unsupervised coreference resolution that views coreference as an EM clustering process. For comparison purposes, we revisit Haghighi and Klein�...
Vincent Ng
PR
2008
228views more  PR 2008»
15 years 6 months ago
Accurate integration of multi-view range images using k-means clustering
3D modelling finds a wide range of applications in industry. However, due to the presence of surface scanning noise, accumulative registration errors, and improper data fusion, re...
Hong Zhou, Yonghuai Liu
IJCAI
2007
15 years 7 months ago
Detecting Changes in Unlabeled Data Streams Using Martingale
The martingale framework for detecting changes in data stream, currently only applicable to labeled data, is extended here to unlabeled data using clustering concept. The one-pass...
Shen-Shyang Ho, Harry Wechsler