Results 21 to 30 of about 1,986,530 (277)
Establish intelligent detection system to evaluate the sugar smoking of chicken thighs
Poultry Science, 2021 : The objective of this study was to establish a standardized color detection method to achieve low-cost, rapid, nonintrusive and accurate characterization of the color change of smoked chicken thighs during the smoking process.
Bo Wang +8 more
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CLUSTERING OF EARTHQUAKE RISK IN INDONESIA USING K-MEDOIDS AND K-MEANS ALGORITHMS
Media Statistika, 2020 Earthquake is the shaking of the earth's surface due to the shift in the earth's plates. This disaster often happens in Indonesia due to the location of the country on the three largest plates in the world and nine small others which meet at an area to ...
Isna Hidayatur Rifa +2 more
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Embed and Conquer: Scalable Embeddings for Kernel k-Means on MapReduce [PDF]
, 2014 The kernel $k$-means is an effective method for data clustering which extends the commonly-used $k$-means algorithm to work on a similarity matrix over complex data structures.
Elgohary, Ahmed +3 more
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K-Means Algorithm Implementation for Project Health Clustering
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Indonesia has several companies that are involved in the telecommunications sector. Various projects run in parallel to support the success of telecommunications companies. The potential of a project can increase company revenue and productivity.
Ajeng Arifa Chantika Rindu +2 more
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A fast version of the k-means classification algorithm for astronomical applications [PDF]
, 2014 Context. K-means is a clustering algorithm that has been used to classify large datasets in astronomical databases. It is an unsupervised method, able to cope very different types of problems. Aims.
Almeida, J. Sánchez +1 more
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A parametric k-means algorithm [PDF]
Computational Statistics, 2007 The k points that optimally represent a distribution (usually in terms of a squared error loss) are called the k principal points. This paper presents a computationally intensive method that automatically determines the principal points of a parametric distribution.
openaire +3 more sources
Optimal location of logistics distribution centres with swarm intelligent clustering algorithms.
PLoS ONE, 2022 A clustering algorithm is a solution for grouping a set of objects and for distribution centre location problems. But the common K-means clustering algorithm may give local optimal solutions. Swarm intelligent algorithms simulate the social behaviours of
Tsung-Xian Lin +2 more
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Optimization algorithm of K-means fingerprint location
Dianzi Jishu Yingyong, 2018 K-means fingerprint localization can reduce the complexity of localization, and improving the real-time of location has become a hot-spot of current localization algorithm.
Yu Chengbo, Li Caihong, Zeng Liang
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K-Means Algorithm Analysis for Election Cluster Prediction
JOIV: International Journal on Informatics Visualization, 2023 The general election is a democratic process that is carried out in every country whose system of government is presidential, including Indonesia, which conducts it every five years.
Sri Ngudi Wahyuni +2 more
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Clustering with Spectral Norm and the k-means Algorithm [PDF]
, 2010 There has been much progress on efficient algorithms for clustering data points generated by a mixture of $k$ probability distributions under the assumption that the means of the distributions are well-separated, i.e., the distance between the means of ...
Kannan, Ravindran, Kumar, Amit
core +1 more source