TY - GEN
T1 - A parallel elastic net clustering algorithm
AU - Feng, Tzu Yi
AU - Tsai, Chun Wei
AU - Chiang, Ming Chao
AU - Yang, Chu Sing
N1 - Funding Information:
This work was supported in part by the Ministry of Science and Technology of Taiwan, R.O.C., under Contracts MOST106-2221-E-110-023 and MOST106-2221-E-005-094.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/9/13
Y1 - 2018/9/13
N2 - The elastic net clustering algorithm (ENCA) can typically provide an effective way for classifying non-linearly separable data. However, the computation time it takes will be significantly increased for large datasets. To deal with this issue, a parallel version of the ENCA, built on the Apache Spark framework, called parallel elastic net clustering algorithm (PENCA), is presented in this paper. To evaluate the performance of the proposed algorithm, it is compared with ENCA and two well-known clustering algorithms, k-means and genetic k-means algorithm (GKA). The results show that PENCA not only outperforms k-means and GKA in terms of the accuracy rate, it also provides an efficient way to reduce the response time of ENCA-based clustering algorithms for large-scale datasets.
AB - The elastic net clustering algorithm (ENCA) can typically provide an effective way for classifying non-linearly separable data. However, the computation time it takes will be significantly increased for large datasets. To deal with this issue, a parallel version of the ENCA, built on the Apache Spark framework, called parallel elastic net clustering algorithm (PENCA), is presented in this paper. To evaluate the performance of the proposed algorithm, it is compared with ENCA and two well-known clustering algorithms, k-means and genetic k-means algorithm (GKA). The results show that PENCA not only outperforms k-means and GKA in terms of the accuracy rate, it also provides an efficient way to reduce the response time of ENCA-based clustering algorithms for large-scale datasets.
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U2 - 10.1109/SmartIoT.2018.00017
DO - 10.1109/SmartIoT.2018.00017
M3 - Conference contribution
AN - SCOPUS:85054480764
SN - 9781538685426
T3 - Proceedings - 2018 IEEE International Conference on Smart Internet of Things, SmartIoT 2018
SP - 40
EP - 45
BT - Proceedings - 2018 IEEE International Conference on Smart Internet of Things, SmartIoT 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Smart Internet of Things, SmartIoT 2018
Y2 - 17 August 2018 through 19 August 2018
ER -