Exact algorithms for size constrained clustering / / Jianyi Lin .
Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis a...
Saved in:
Superior document: | Mathematical Sciences |
---|---|
VerfasserIn: | |
Place / Publishing House: | Milan : : Libreria Ledi Srl,, 2013 |
Year of Publication: | 2013 |
Language: | English |
Series: | Mathematical Sciences
|
Notes: | Bibliographic Level Mode of Issuance: Monograph |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993547040904498 |
---|---|
ctrlnum |
(CKB)2670000000497803 (SSID)ssj0001326128 (PQKBManifestationID)12495062 (PQKBTitleCode)TC0001326128 (PQKBWorkID)11518835 (PQKB)10617971 (oapen)https://directory.doabooks.org/handle/20.500.12854/47161 (EXLCZ)992670000000497803 |
collection |
bib_alma |
record_format |
marc |
spelling |
Lin, Jianyi author. Exact algorithms for size constrained clustering / Jianyi Lin . Ledizioni 2013 Milan : Libreria Ledi Srl, 2013 text txt computer c online resource cr text file rda Mathematical Sciences Bibliographic Level Mode of Issuance: Monograph Includes bibliographical references. Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis among others. A cluster is a set of data points that in some sense are similar to each other, and clustering is a process of partitioning a data set into disjoint clusters. In distance clustering, the similarity among data points is obtained by means of a distance function. Also available in print form. English Algorithms. Mathematics. Mathematical 88-6705-065-6 |
language |
English |
format |
eBook |
author |
Lin, Jianyi |
spellingShingle |
Lin, Jianyi Exact algorithms for size constrained clustering / Mathematical Sciences |
author_facet |
Lin, Jianyi |
author_variant |
j l jl |
author_role |
VerfasserIn |
author_sort |
Lin, Jianyi |
title |
Exact algorithms for size constrained clustering / |
title_full |
Exact algorithms for size constrained clustering / Jianyi Lin . |
title_fullStr |
Exact algorithms for size constrained clustering / Jianyi Lin . |
title_full_unstemmed |
Exact algorithms for size constrained clustering / Jianyi Lin . |
title_auth |
Exact algorithms for size constrained clustering / |
title_new |
Exact algorithms for size constrained clustering / |
title_sort |
exact algorithms for size constrained clustering / |
series |
Mathematical Sciences |
series2 |
Mathematical Sciences |
publisher |
Ledizioni Libreria Ledi Srl, |
publishDate |
2013 |
physical |
Also available in print form. |
isbn |
88-6705-065-6 |
illustrated |
Illustrated |
work_keys_str_mv |
AT linjianyi exactalgorithmsforsizeconstrainedclustering |
status_str |
n |
ids_txt_mv |
(CKB)2670000000497803 (SSID)ssj0001326128 (PQKBManifestationID)12495062 (PQKBTitleCode)TC0001326128 (PQKBWorkID)11518835 (PQKB)10617971 (oapen)https://directory.doabooks.org/handle/20.500.12854/47161 (EXLCZ)992670000000497803 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Mathematical Sciences |
is_hierarchy_title |
Exact algorithms for size constrained clustering / |
container_title |
Mathematical Sciences |
_version_ |
1796651448068472832 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01837nam a2200421 i 4500</leader><controlfield tag="001">993547040904498</controlfield><controlfield tag="005">20230621135405.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">160829s2013 it a ob 000 | eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)2670000000497803</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SSID)ssj0001326128</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PQKBManifestationID)12495062</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PQKBTitleCode)TC0001326128</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PQKBWorkID)11518835</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(PQKB)10617971</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/47161</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)992670000000497803</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">PQKB</subfield><subfield code="d">UkMaJRU</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Lin, Jianyi</subfield><subfield code="e">author.</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Exact algorithms for size constrained clustering /</subfield><subfield code="c">Jianyi Lin .</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="b">Ledizioni</subfield><subfield code="c">2013</subfield></datafield><datafield tag="264" ind1="3" ind2="1"><subfield code="a">Milan :</subfield><subfield code="b">Libreria Ledi Srl,</subfield><subfield code="c">2013</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield></datafield><datafield tag="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="1" ind2=" "><subfield code="a">Mathematical Sciences</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Bibliographic Level Mode of Issuance: Monograph</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis among others. A cluster is a set of data points that in some sense are similar to each other, and clustering is a process of partitioning a data set into disjoint clusters. In distance clustering, the similarity among data points is obtained by means of a distance function.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Also available in print form.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Algorithms.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Mathematics.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Mathematical</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">88-6705-065-6</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-06-25 10:33:36 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2014-01-11 19:31:36 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338484790004498&Force_direct=true</subfield><subfield code="Z">5338484790004498</subfield><subfield code="b">Available</subfield><subfield code="8">5338484790004498</subfield></datafield></record></collection> |