Affinity propagation

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

Papers overview

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2014

Abstract : This paper describes the second participation of BJUT in the temporal summarization track. We performed the…

2013

Feature encoding with an overcomplete dictionary has demonstrated good performance in many applications, especially computer…

2011

This report describes the methods that our Information Retrieval Group at Purdue University used for the TREC Microblog 2011…

2010

Community structure is one of the important topological characteristics of many complex networks. Detecting communities from…

2010

The emergence of social media brings chances, but also challenges, to linguistic analysis. In this paper we investigate a novel…

2009

Community structure in networks indicates groups of vertices within which are dense connections and between which are sparse…

2009

Clustering has become a crucial operation in Wireless Sensor Networks (WSNs). Affinity Propagation (AP) is a relatively new…

2009

Cognitive radios must be able to form collaborative wireless network clusters in dynamically changing environments to achieve…

2009

The goal of query-focused summarization is to extract a summary for a given query from the document collection. Although much…

2007

Affinity propagation clustering is an efficient and fast clustering algorithm,especially for large data sets,but its clustering…