A random finite set model for data clustering

A random finite set model for data clustering

The goal of data clustering is to partition data points into groups to optimize a given objective function. While most existing clustering algorithms treat each data point as vector, in many applications each datum is not a vector but a point pattern or a set of points. Moreover, many existing clust...

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Bibliographic Details
Main Authors: Phung, D., Vo, Ba-Ngu
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2014
Online Access:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6916264&action=search&sortType=&rowsPerPage=&searchField=Search_All&matchBoolean=true&queryText=((A%20random%20finite%20set%20model%20for%20data%20clustering)%20AND%20phung)
http://hdl.handle.net/20.500.11937/25019

Internet

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6916264&action=search&sortType=&rowsPerPage=&searchField=Search_All&matchBoolean=true&queryText=((A%20random%20finite%20set%20model%20for%20data%20clustering)%20AND%20phung)
http://hdl.handle.net/20.500.11937/25019

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