期刊论文

Yin, Jianping

英文

计算机、材料和连续体(英文)

1546-2218

2019

61

1

409-421

10.32604/cmc.2019.06206

Acknowledgement: This work was supported by the National Key R&D Program of China (No. 2018YFB1003203), National Natural Science Foundation of China (Nos. 61672528, 61773392, 61772561), Educational Commission of Hu Nan Province, China (No. 14B193) and the Key Research & Development Plan of Hunan Province (No. 2018NK2012).

本校为其他机构

Multiple kernel clustering based on local kernel alignment has achieved outstanding clustering performance by applying local kernel alignment on each sample. However, we observe that most of existing works usually assume that each local kernel alignment has the equal contribution to clustering performance, while local kernel alignment on different sample actually has different contribution to clustering performance. Therefore this assumption could have a negative effective on clustering performance. To solve this issue, we design a multiple ker...