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Qibing Jin, Nan Lin and Yuming Zhang
K-Means Clustering is a popular technique in data analysis and data mining. To remedy the defects of relying on the initialization and converging towards the local minimum in the K-Means Clustering (KMC) algorithm, a chaotic adaptive artificial bee colon...
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Qiqian Zhang, Xiao Huang, Honghai Zhang and Chunyun He
A two-stage planning model for the carrier?vehicle problem with drone (CVP-D) is established in this paper, with the objective of minimizing the delivery time of the drone and the distance traveled by the truck while considering the impact of payload on ...
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Yuchen Liang, Yanan Cheng, Zhaoxin Zhang, Tingting Chai and Chao Li
Detecting and controlling illegal websites (gambling and pornography sites) through illegal domain names has been an unsolved problem. Therefore, how to mine and discover potential illegal domain names in advance has become a current research hotspot. Th...
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Jiaowei Shi, Shiyan Sun, Zhangsong Shi, Chaobing Zheng and Bo She
For a long time, the water column at the impact point of a naval gun firing at the sea has mainly depended on manual detection methods for locating, which has problems such as low accuracy, subjectivity and inefficiency. In order to solve the above probl...
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Liangwen Yan, Fengfeng Qian and Wei Li
As the energy-saving control of central air conditioning has been widely applied in modern architecture, research of real-time optimal control based on historical data and identification of its optimal control strategies are of great importance for reduc...
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Pan Zou,Manik Rajora,Steven Y Liang
Though ample work has been done in optimization of job shop scheduling problems (JSSPs), very few techniques can satisfy the requirement of modern day workshop i.e. providing multiple schedules that achieve the desired goal. These techniques also do not ...
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(1) Mohammad Alfan Alfian Riyadi (Departement of Statistics, Institut Teknologi Sepuluh Nopember, Indonesia) (2) Dian Sukma Pratiwi (Departement of Actuarial Science, Bandung, Indonesia) (3) Aldho Riski Irawan (Departement of Statistics, Institut Teknologi Sepuluh Nopember, Indonesia) (4) Kartika Fithriasari (Departement of Statistics, Institut Teknologi Sepuluh Nopember, Indonesia)
Pág. 154 - 160
Observing large dimension time series could be time-consuming. One identification and classification approach is a time series clustering. This study aimed to compare the accuracy of two algorithms, hierarchical cluster and K-Means cluster, using ACF?s d...
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Orvila Sarker, Rokeya Begum Jothi
Pág. 35 - 40
Clustering and edge based segmentation are two basic image segmentation technique. This paper involves image clustering based restoration technique for finding out the set of consequential groups and restoring the original image from a noisy image. Previ...
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(1) Riski Annisa (Universitas Bina Sarana Informatika, Indonesia) (2) Didi Rosiyadi (Research Center for Informatics, Indonesian Institute of Sciences (LIPI), Bandung; Indonesia and Master Program of Computer Science STMIK Nusa Mandiri, Jakarta, Indonesia) (3) Dwiza Riana (STMIK Nusa Mandiri, Indonesia)
The k-means algorithm is a frequent and easy-to-use clustering algorithm. This algorithm is very sensitive to the centroid point chosen randomly so it cannot produce optimal results. In this research proposed an algorithm called point center to overcome ...
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Abiodun M. Ikotun and Absalom E. Ezugwu
Automatic clustering problems require clustering algorithms to automatically estimate the number of clusters in a dataset. However, the classical K-means requires the specification of the required number of clusters a priori. To address this problem, met...
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Kegong Shi, Jinjin Yan and Jinquan Yang
Reasonable semantic partition of indoor areas can improve space utilization, optimize property management, and enhance safety and convenience. Existing algorithms for such partitions have drawbacks, such as the inability to consider semantics, slow conve...
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Mohamed A. Damos, Jun Zhu, Weilian Li, Elhadi Khalifa, Abubakr Hassan, Rashad Elhabob, Alaa Hm and Esra Ei
Social media platforms play a vital role in determining valuable tourist objectives, which greatly aids in optimizing tourist path planning. As data classification and analysis methods have advanced, machine learning (ML) algorithms such as the k-means a...
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Yuanyou Ou and Baoning Niu
The dual-channel graph collaborative filtering recommendation algorithm (DCCF) suppresses the over-smoothing problem and overcomes the problem of expansion in local structures only in graph collaborative filtering. However, DCCF has the following problem...
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Qingping Zhang, Jiaqiang Tian, Zhenhua Yan, Xiuguang Li and Tianhong Pan
This article presents a classification method that utilizes impedance spectrum features and an enhanced K-means algorithm for Lithium-ion batteries. Additionally, a parameter identification method for the fractional order model is proposed, which is base...
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Fangfang Zheng, Xiaofang Meng, Tiefeng Xu, Yongchang Sun and Nannan Zhang
Photovoltaics have uncertain characteristics. If a high proportion of photovoltaics are connected to the distribution network, the voltage will exceed the limit. In order to solve this problem, a voltage regulation method of a distribution network consid...
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Shaojie Zhang, Mahdi Hasanipanah, Biao He, Ahmad Safuan A. Rashid, Dmitrii Vladimirovich Ulrikh and Qiancheng Fang
We developed an optimized system for solving engineering problems according to the characteristics of data. Because data analysis includes different variations, the use of common features can increase the performance and accuracy of models. Therefore, th...
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Wei Liu, Jie Yang, Yue Gong and Qi Cheng
After decades of development, China?s urban renewal is facing the problems of inequality and intolerance, neglecting vulnerable groups and triggering gentrification. These problems are rarely quantified and draw limited public concerns. To promote an inc...
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Zaid Abdi Alkareem Alyasseri, Ali H. Al-Timemy, Ammar Kamal Abasi, Alexandru Lavric, Husam Jasim Mohammed, Hidenori Takahashi, Jose Arthur Milhomens Filho, Mauro Campos, Rossen M. Hazarbassanov and Siamak Yousefi
Machine learning models have recently provided great promise in diagnosis of several ophthalmic disorders, including keratoconus (KCN). Keratoconus, a noninflammatory ectatic corneal disorder characterized by progressive cornea thinning, is challenging t...
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Jongseo Park and Minjoo Choi
Defining the appropriate functional requirements in the early ship design stage is important in order that costs that are caused by the over- or under-specified functional capabilities do not increase. This paper presents a K-means clustering algorithm f...
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Gita Muditha Kario,Endang Amalia
Pág. 20 - 27
The tourism sector plays an active role in economic growth for a country. Indonesia, which is one of the ASEAN states, shows that the role of tourism is one of the important sectors in the economy in Indonesia. However, the influence of the tourism secto...
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