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| 001 |
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20220103135257.0 |
| 008 |
870706s1984 xx a bm 000 0 eng d |
| 035 |
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|9 ACP4495AM
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|a (OCoLC)16132294
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| 035 |
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|a (OCoLC)ocm16132294
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| 040 |
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|a TXA
|b eng
|c TXA
|d OCLCQ
|d OCLCF
|d OCLCQ
|d OCLCO
|d TXA
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| 049 |
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|a TXAM
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| 099 |
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|a 1984
|a Dissertation
|a K95
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| 100 |
1 |
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|a Ku, Long-Chian
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| 245 |
1 |
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|a The systolic architecture for hierarchical clustering.
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| 264 |
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|c 1984.
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| 300 |
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|a ix, 82 leaves :
|b illustrations ;
|c 29 cm
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| 336 |
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|a text
|b txt
|2 rdacontent
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| 337 |
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|a unmediated
|b n
|2 rdamedia
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| 338 |
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|a volume
|b nc
|2 rdacarrier
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| 500 |
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|a "Major subject: Computer Science."
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| 500 |
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|a Typescript (photocopy).
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| 500 |
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|a Vita.
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| 502 |
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|b Ph. D. in Philosophy
|c Texas A & M University
|d 1984
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| 504 |
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|a Includes bibliographical references (leaves 76-81).
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| 520 |
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|a Several hierarchical clustering methods (including single-linkage, complete-linkage, centroid, and absolute overlap methods) are reviewed. The absolute overlap clustering method is selected for the design of systolic architecture mainly due to its simplicity. Two versions of systolic architectures for the absolute overlap hierarchical clustering algorithm are proposed. A one dimensional version that leads to the development of a two dimensional version which fully takes advantage of the underlying data structure of the problems. The two dimensional systolic architecture can achieve a time complexity of O(m + n) in comparison to the conventional computer implementation of a time complexity of O(m('2)*n).
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|a Cluster analysis.
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| 650 |
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|a Computer architecture.
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4 |
|a Computer Science
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| 655 |
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7 |
|a Academic theses
|2 lcgft
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| 700 |
1 |
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|a Drew, Dan D.,
|e degree supervisor.
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| 700 |
1 |
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|a Friesen, Donald K.,
|e degree committee member.
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| 700 |
1 |
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|a Morgan, Stephen M.,
|e degree committee member.
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| 700 |
1 |
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|a Noe, Philip S.,
|e degree committee member.
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| 710 |
2 |
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|a Texas A & M University,
|e degree granting institution.
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| 856 |
4 |
1 |
|u http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=751348781&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD
|z Link to ProQuest Copy
|t 0
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| 856 |
4 |
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|u https://hdl.handle.net/1969.1/DISSERTATIONS-592366
|z Link to OAKTrust copy
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| 994 |
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|a C0
|b TXA
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| 952 |
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|a Texas A&M University
|b J.J. Pickle Campus
|c High Density Repository
|s HDR
|d Remote Storage
|t 0
|e 1984 Dissertation K95
|h Other scheme
|i unmediated -- volume
|m A14840936921
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| 952 |
f |
f |
|a Texas A&M University
|b College Station
|c Electronic Resources
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|a 1984 Dissertation K95
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