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» Improving Cluster Method Quality by Validity Indices
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101
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BMCBI
2007
97views more  BMCBI 2007»
15 years 19 days ago
Relating destabilizing regions to known functional sites in proteins
Background: Most methods for predicting functional sites in protein 3D structures, rely on information on related proteins and cannot be applied to proteins with no known relative...
Benoit H. Dessailly, Marc F. Lensink, Shoshana J. ...
URBAN
2008
99views more  URBAN 2008»
15 years 12 days ago
A comparison of address point, parcel and street geocoding techniques
The widespread availability of powerful geocoding tools in commercial GIS software and the interest in spatial analysis at the individual level have made address geocoding a widel...
Paul A. Zandbergen
107
Voted
KDD
2008
ACM
140views Data Mining» more  KDD 2008»
16 years 28 days ago
Semi-supervised approach to rapid and reliable labeling of large data sets
Supervised classification methods have been shown to be very effective for a large number of applications. They require a training data set whose instances are labeled to indicate...
György J. Simon, Vipin Kumar, Zhi-Li Zhang
91
Voted
ICCV
2009
IEEE
16 years 5 months ago
Wide-Baseline Image Matching Using Line Signatures
We present a wide-baseline image matching approach based on line segments. Line segments are clustered into local groups according to spatial proximity. Each group is treated as...
Lu Wang, Ulrich Neumann and Suya You
87
Voted
ICDM
2006
IEEE
89views Data Mining» more  ICDM 2006»
15 years 6 months ago
On the Lower Bound of Local Optimums in K-Means Algorithm
The k-means algorithm is a popular clustering method used in many different fields of computer science, such as data mining, machine learning and information retrieval. However, ...
Zhenjie Zhang, Bing Tian Dai, Anthony K. H. Tung