Affinity propagation

In statistics and data mining, affinity propagation (AP) is a clustering algorithm based on the concept of "message passing" between data points… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

2004-2017
020406020042017

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2013
2013
The affinity propagation (AP) clustering algorithm has received much attention in the past few years. AP is appealing because it… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
2011
2011
Based on an effective clustering algorithm-Affinity Propagation (AP)-we present in this paper a novel semisupervised text… (More)
  • figure 1
  • table 1
  • figure 4
  • figure 2
  • figure 3
Is this relevant?
2011
2011
Affinity Propagation is a state-of-the-art clustering method recently proposed by Frey and Dueck. It has been successfully… (More)
  • table 1
  • figure 2
  • figure 3
  • table 2
  • figure 4
Is this relevant?
2011
2011
Facility location (FL) is a well-researched problem in operational-research (Şahin Güvenç & Haldun, 2007), and is closely related… (More)
  • figure 8
  • figure 9
  • figure 11
  • figure 10
Is this relevant?
Highly Cited
2009
Highly Cited
2009
Affinity propagation (AP) was recently introduced as an unsupervised learning algorithm for exemplar-based clustering. We present… (More)
  • figure 1
  • figure 2
Is this relevant?
Highly Cited
2008
Highly Cited
2008
Pairwise constraints specify whether or not two samples should be in one cluster. Although it has been successful to incorporate… (More)
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 5
Is this relevant?
2008
2008
Affinity propagation clustering (AP) has two limitations: it is hard to know what value of parameter ‘preference’ can yield an… (More)
  • table 1
  • table 2
  • table 3
  • table 4
Is this relevant?
2008
2008
AFFINITY PROPAGATION: CLUSTERING DATA BY PASSING MESSAGES Delbert Dueck Doctor of Philosophy Graduate Department of Electrical… (More)
Is this relevant?
Highly Cited
2007
Highly Cited
2007
Unsupervised categorization of images or image parts is often needed for image and video summarization or as a preprocessing step… (More)
  • figure 1
  • figure 2
  • figure 4
  • figure 3
  • figure 5
Is this relevant?
Highly Cited
2005
Highly Cited
2005
Clustering is a fundamental problem in machine learning and has been approached in many ways. Two general and quite different… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Is this relevant?