Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Tze-Yu Chen"'
Autor:
Tze-Yu Chen, 陳則喻
101
This study presents carbon and oxygen isotopic records from three stalagmites collected in 2005 from Huangye cave (33o35''N, 105o07''E) in Wudu County, Gansu Province, China. Three stalagmites with lengths of 14 cm for HY05-2, 23.6 cm for HY
This study presents carbon and oxygen isotopic records from three stalagmites collected in 2005 from Huangye cave (33o35''N, 105o07''E) in Wudu County, Gansu Province, China. Three stalagmites with lengths of 14 cm for HY05-2, 23.6 cm for HY
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/32204785288541658134
Autor:
Tze-Yu Chen, 陳則諭
99
DBSCAN is one of the well-known density-based clustering algorithms which can identify clusters with arbitrary shape in a noisy space. However, when the scales of the data become larger and larger, DBSCAN is unable to process the data efficie
DBSCAN is one of the well-known density-based clustering algorithms which can identify clusters with arbitrary shape in a noisy space. However, when the scales of the data become larger and larger, DBSCAN is unable to process the data efficie
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/70498191043701946531
Autor:
Chih-Chi Chung, Yen-Chun Lin, Yu-Cheng Wang, Tze-Yu Chen, Chia-Yu Chen, Xinye Jiang, Fang-Yu Lin, Yu-Hao Weng, Yung-Ju Chang
Publikováno v:
Companion Computer Supported Cooperative Work and Social Computing.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d8a4905cd183c5e8a1cb2785762be8c
https://doi.org/10.1145/3500868.3559447
https://doi.org/10.1145/3500868.3559447
Autor:
Su-Fang Yeh, Meng-Hsin Wu, Tze-Yu Chen, Yen-Chun Lin, XiJing Chang, You-Hsuan Chiang, Yung-Ju Chang
Publikováno v:
CHI Conference on Human Factors in Computing Systems.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::80bb747c8cc7af3c9703eb9e1fbb09ec
https://doi.org/10.1145/3491102.3501941
https://doi.org/10.1145/3491102.3501941
Publikováno v:
CCBD
Many distributed clustering algorithms have been proposed to speed up data clustering on huge database. However, the existing distributed clustering algorithms still suffer from many issues on distributed system such as data synchronization, insuffic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c8446107de408f945fddc3d5065d9085
https://doi.org/10.1109/ccbd.2015.9
https://doi.org/10.1109/ccbd.2015.9