This digital document is a journal article from Computers and Operations Research, published by Elsevier in 2007. The article is delivered in HTML format and is available in your Amazon.com Media Library immediately after purchase. You can view it with any web browser.
Description:
Clustering attempts to partition a dataset into a meaningful set of mutually exclusive clusters. It is known that sequential clustering algorithms can give optimal partitions when applied to an ordered set of objects. In this technical note, we explore how this approach could be generalized to partition datasets in which there is no natural sequential ordering of the objects. As such, it extends the application of sequential clustering algorithms to all sets of objects.
A hybrid clustering algorithm [An article from: Computers and Operations Research]
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Book Details
Author(s)K.-M. Osei-Bryson, T.R. Inniss
PublisherElsevier
ISBN / ASINB000PKI2SC
ISBN-13978B000PKI2S0
AvailabilityAvailable for download now
Sales Rank12,456,005
MarketplaceUnited States 🇺🇸