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Sustainability, 2022 E-commerce system has become more popular and implemented in almost all business areas. E-commerce system is a platform for marketing and promoting the products to customer through online.
Kayalvily Tabianan +2 more
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Penerapan Algoritma K-Means Untuk Mengklasifikasi Data Obat
Jurnal Sisfokom, 2023 Pengklasifikasian data obat pada sebuah instansi yang bergerak pada bidang Kesehatan merupakan hal yang sangat penting. Kegiatan tersebut tidak lepas dari pengawasan serta monitoring setiap harinya karena pengolahan data obat termasuk inti dalam ...
Ferdy Pangestu Ferdy Pangestu +3 more
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K-MEANS WITH SAMPLING FOR DETERMINING PROMINENT COLORS IN IMAGES
ICTACT Journal on Soft Computing, 2022 A tool that quickly calculates the dominant colors of an image can be very useful in image processing. The k-means clustering algorithm has this potential since it partitions a set of data into n clusters and returns a representative data point from each
Angelina Cheng +2 more
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Balanced K-Means for Clustering [PDF]
, 2014 We present a k-means-based clustering algorithm, which optimizes mean square error, for given cluster sizes. A straightforward application is balanced clustering, where the sizes of each cluster are equal. In k-means assignment phase, the algorithm solves the assignment problem by Hungarian algorithm.
Malinen Mikko, Fränti Pasi
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RSKC: An R Package for a Robust and Sparse K-Means Clustering Algorithm
Journal of Statistical Software, 2016 Witten and Tibshirani (2010) proposed an algorithim to simultaneously find clusters and select clustering variables, called sparse K-means (SK-means).
Yumi Kondo +2 more
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An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling
Annals of Data Science, 2022 K-means algorithm is one of the well-known unsupervised machine learning algorithms. The algorithm typically finds out distinct non-overlapping clusters in which each point is assigned to a group.
M. Zubair +5 more
semanticscholar +1 more source
Initializing k-means Clustering
Proceedings of the 9th International Conference on Data Science, Technology and Applications, 2020 The quality of clustering results obtained with the k-means algorithm depends heavily on the initialization of the cluster centers. Simply sampling centers uniformly at random from the data points usually yields fairly poor and unstable results. Hence several alternatives have been suggested in the past, among which Maximin (Hathaway et al., 2006) and ...
Borgelt, Christian, Yarikova, Olha
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Clustering Productive Palm Land using the K- Means Clustering Algorithm
Journal of Innovation Information Technology and Application, 2023 Indonesia is a country with a tropical climate that has many oil palm plantations. CV. Alkema Deo is one of the companies that manage oil palm plantations in Sampit City, East Kotawaringin Regency, Central Kalimantan. CV.
Geofanny Widianto Sihite +1 more
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A Novel K-Means Clustering Algorithm with a Noise Algorithm for Capturing Urban Hotspots
Applied Sciences, 2021 With the development of cities, urban congestion is nearly an unavoidable problem for almost every large-scale city. Road planning is an effective means to alleviate urban congestion, which is a classical non-deterministic polynomial time (NP) hard ...
Xiaojuan Ran +4 more
semanticscholar +1 more source