| bibtype |
C -
Conference Paper (international conference)
|
| ARLID |
0328456 |
| utime |
20240103192001.4 |
| mtime |
20090929235959.9 |
| title
(primary) (eng) |
Clustering by Mode Estimation |
| specification |
|
| serial |
| ARLID |
cav_un_epca*0328455 |
| ISBN |
978-1-4244-3802-0 |
| title
|
IEEE - 7th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence and Informatics |
| part_num |
1 |
| page_num |
112-115 |
| publisher |
| place |
Košice |
| name |
Slovakia |
| year |
2009 |
|
|
| title
(cze) |
Shlukování s využitím odhadu modu |
| keyword |
clustering |
| keyword |
boundary detection |
| keyword |
mode boundary estimation |
| author
(primary) |
| ARLID |
cav_un_auth*0015539 |
| name1 |
Ocelíková |
| name2 |
E. |
| country |
SK |
|
| author
|
| ARLID |
cav_un_auth*0101129 |
| name1 |
Klimešová |
| name2 |
Dana |
| institution |
UTIA-B |
| fullinstit |
Ústav teorie informace a automatizace AV ČR, v. v. i. |
|
| source |
|
| cas_special |
| research |
CEZ:AV0Z10750506 |
| abstract
(eng) |
In this contribution we introduce a clustering scheme based on mode boundary detection procedures. Modes are characterized as compact regions of the data space with higher densities than their surrounding. A mode boundary as defined in this approach is an area of large local changes in the probability density functions. Examples of the performance of the clustering based on the so-obtained mode boundaries are given using artificially generated data sets. |
| abstract
(cze) |
V tomto článku představujeme shlukovací schéma založené na odhadu módu procedur. Módy jsou charakterizovány jako kompaktní části datového prostoru s vyšší hutností než jejich okolí. |
| action |
| ARLID |
cav_un_auth*0253581 |
| name |
SAMI 2009 |
| place |
Herlany |
| dates |
30.01.2009-02.02.2009 |
| country |
SK |
|
| reportyear |
2010 |
| RIV |
IN |
| permalink |
http://hdl.handle.net/11104/0174767 |
| arlyear |
2009 |
| mrcbU63 |
cav_un_epca*0328455 IEEE - 7th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence and Informatics 1 978-1-4244-3802-0 112 115 IEEE - 7th Slovakian-Hungarian Joint Symposium on Applied Machine Intelligence and Informatics Košice Slovakia 2009 |
|