Show/Hide Menu
Hide/Show Apps
anonymousUser
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Açık Bilim Politikası
Açık Bilim Politikası
Frequently Asked Questions
Frequently Asked Questions
Browse
Browse
By Issue Date
By Issue Date
Authors
Authors
Titles
Titles
Subjects
Subjects
Communities & Collections
Communities & Collections
PROBABILISTIC DISTANCE CLUSTERING ADJUSTED FOR CLUSTER SIZE
Download
index.pdf
Date
2008-01-01
Author
İyigün, Cem
BEN-ISRAEL, Adi
Metadata
Show full item record
This work is licensed under a
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
.
Item Usage Stats
2
views
2
downloads
The probabilistic distance clustering method of [1] works well if the cluster sizes are approximately equal. We modify that method to deal with clusters of arbitrary size and for problems where the cluster sizes are themselves unknowns that need to be estimated. In the latter case, our method is a viable alternative to the expectation-maximization (EM) method.
Subject Keywords
Management Science and Operations Research
,
Statistics, Probability and Uncertainty
,
Statistics and Probability
,
Industrial and Manufacturing Engineering
URI
https://hdl.handle.net/11511/38932
Journal
PROBABILITY IN THE ENGINEERING AND INFORMATIONAL SCIENCES
DOI
https://doi.org/10.1017/s0269964808000351
Collections
Department of Industrial Engineering, Article