Algorithms of Hard c-Means Clustering Using Kernel Functions in Support Vector Machines
2003 ◽
Vol 7
(1)
◽
pp. 19-24
◽
Keyword(s):
We discuss hard c-means clustering using a mapping into a high-dimensional space considered within the theory of support vector machines. Two types of iterative algorithms are developed. Effectiveness of the proposed method is shown by numerical examples.
2003 ◽
Vol 7
(1)
◽
pp. 25-30
◽
2018 ◽
Vol 265
(3)
◽
pp. 993-1004
◽
2010 ◽
pp. 106-112
◽
Keyword(s):
2014 ◽
Vol 511-512
◽
pp. 467-474
Keyword(s):
2014 ◽
Vol 644-650
◽
pp. 4314-4318
2001 ◽
Vol 09
(06)
◽
pp. 803-813
◽
2016 ◽
Vol 8
(2)
◽
pp. 544-569
◽
2015 ◽
Vol 72
◽
pp. 477-484
◽
Keyword(s):