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Canopy clustering algorithm

The canopy clustering algorithm is an unsupervised pre-clustering algorithm introduced by Andrew McCallum, Kamal Nigam and Lyle Ungar in 2000. It is… 
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Papers overview

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2018
2018
Entity resolution is a critical process to enable big data integration. It aims to identify records that refer to the same real… 
2018
2018
: Data mining is the process in which discover patterns in large datasets at the intersection of statistics, database systems and… 
2014
2014
Unsupervised learning involves exploring the unlabeled data to find some intrinsic or hidden structures. Duplicate detection… 
2012
2012
대용량 데이터를 효율적으로 군집화하기위해 개발된 Canopy Clustering은 2개의 파라미터 (T1, T2)에 기반하여 Canopy… 
2011
2011
Much of the previous evaluation of active crop canopy sensors for in-season assessment of crop nitrogen (N) status has occurred… 
2009
2009
Amongst the agrochemicals, fertilizers have been th e most frequently applied through microirrigation systems (fertigation… 
2007
2007
Most rangelands are harvested at some point during the year and removal of plant leaf area and biomass alters a host of ecosystem… 
2006
2006
A plasma display panel includes a front substrate plate providing a display surface; a plurality of row electrode pairs formed on… 
1990
1990
Using a widely accepted radiance program, temperature profiles for various pre-Flood vapor canopies are calculated. The profiles… 
1987
1987
SYNOPSIS Colin V-33 (a dwarf avocado) used as interstock in pieces ranging from 10-30 cm and from 30-50 cm in length were used to…