Suchergebnisse - Partitioning clustering algorithm

Isoperimetric clustering-based network partitioning algorithm for voltage–apparent power coupled areas von Jay, Devika, Swarup, Kesasanakurty Shanti

“… Based on the relative electrical distance measure, in this work, an isoperimetric clustering based algorithm for partitioning power systems into voltage …”
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A modified fuzzy clustering algorithm for market zonal partitioning in electricity markets: MODIFIED FUZZY CLUSTERING ALGORITHM FOR MARKET ZONAL PARTITIONING von Raoofat, Mahdi, Eghtedarpour, Navid

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Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms von Reynolds, A. P., Richards, G., de la Iglesia, B., Rayward-Smith, V. J.

“… ', for describing different subsets of the records in the class of interest. This paper describes the application of a number of different clustering algorithms to these rules, in order to identify similar rules and to better understand the data …”
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Tumor-immune partitioning and clustering algorithm for identifying tumor-immune cell spatial interaction signatures within the tumor microenvironment von Lau, Mai Chan, Borowsky, Jennifer, Väyrynen, Juha P., Haruki, Koichiro, Zhao, Melissa, Dias Costa, Andressa, Gu, Simeng, da Silva, Annacarolina, Ugai, Tomotaka, Arima, Kota, Nguyen, Minh N., Takashima, Yasutoshi, Yeong, Joe, Tai, David, Hamada, Tsuyoshi, Lennerz, Jochen K., Fuchs, Charles S., Wu, Catherine J., Meyerhardt, Jeffrey A., Ogino, Shuji, Nowak, Jonathan A.

“… We introduce a computational algorithm, termed Tumor-Immune Partitioning and Clustering (TIPC), that jointly measures immune cell partitioning between tumor epithelial and stromal areas and immune cell clustering versus dispersion …”
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Recursive partitioning clustering tree algorithm von Kang, Ji Hoon, Park, Chan Hee, Kim, Seoung Bum

“… Although numerous clustering algorithms have been proposed and proven to perform reasonably well, no consensus exists about which one performs best in real situations …”
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A comprehensive survey of clustering algorithms: State-of-the-art machine learning applications, taxonomy, challenges, and future research prospects von Ezugwu, Absalom E., Ikotun, Abiodun M., Oyelade, Olaide O., Abualigah, Laith, Agushaka, Jeffery O., Eke, Christopher I., Akinyelu, Andronicus A.

“… However, there has been a gradual shift in the choice of clustering methods among domain experts and practitioners alike, which is precipitated by the fact that most traditional clustering algorithms …”
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Ranked k-medoids: A fast and accurate rank-based partitioning algorithm for clustering large datasets von Razavi Zadegan, Seyed Mohammad, Mirzaie, Mehdi, Sadoughi, Farahnaz

“… clusters. Most of the algorithms in partitioning approach of clustering suffer from trapping in local optimum and the sensitivity to initialization and outliers …”
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Integrating multi-objective genetic algorithm based clustering and data partitioning for skyline computation von Özyer, Tansel, Zhang, Ming, Alhajj, Reda

“… This motivated for our approach that employs a multi-objective genetic algorithm based clustering approach to find the pareto-optimal front which allows us to locate skylines within a given data …”
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A K-partitioning algorithm for clustering large-scale spatio-textual data von Choi, Dong-Wan, Chung, Chin-Wan

“… Motivated by this, this paper proposes a k-means based clustering algorithm specialized for a massive spatio-textual data …”
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A CRCLA Task Partition Algorithm Combining Genetic Algorithm and Clustering Based Partitioning Algorithm von Zhang, Yulei, Xu, Jinfu, Li, Wei, Nan, Longmei, Chen, Tao

“… ) based on reconfigurable cryptographic logic array, a task partition algorithm CBPGA combining genetic algorithm and cluster partition algorithm is proposed …”
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Partitioning hard clustering algorithms based on multiple dissimilarity matrices von de Carvalho, Francisco de A.T., Lechevallier, Yves, de Melo, Filipe M.

“… This paper introduces hard clustering algorithms that are able to partition objects taking into account simultaneously their relational descriptions given by multiple dissimilarity matrices …”
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Application of Clustering Algorithms to Partitioning Configuration Space in Fitting Reactive Potential Energy Surfaces von Guan, Yafu, Yang, Shuo, Zhang, Dong H

“… ). To alleviate this, exemplar-based clustering is applied to partition the configuration space into several smaller parts …”
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Students Academic Performance Using Partitioning Clustering Algorithms von Humamuddin, Nafis, Md Tabrez, Syed Taha Owais

“… With time, the data is growing at a very high rate. The issue is not in storing the data, but in extracting the valuable information from it. Data mining …”
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Relational partitioning fuzzy clustering algorithms based on multiple dissimilarity matrices von de Carvalho, Francisco de A.T., Lechevallier, Yves, de Melo, Filipe M.

“… This paper introduces fuzzy clustering algorithms that can partition objects taking into account simultaneously their relational descriptions given by multiple dissimilarity matrices …”
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K-Means Clustering Algorithm for Partitioning the Openness Levels of Open Government Data Portals von Emigawaty, Emigawaty, Adi, Kusworo, Rochim, Adian Fatchur, Warsito, Budi, Wibowo, Adi

“… To evaluate the level of openness of 24 OGD portals in Indonesia, this study used the K-means Clustering algorithm to partition them into three levels …”
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Road network partitioning method based on Canopy-Kmeans clustering algorithm von Lin, Xiaohui, Xu, Jianmin

“… -areas of road network, but when Kmeans clustering algorithm is used in road network partitioning, it is easy to fall into the local optimal solution …”
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Gate-Level Circuit Partitioning Algorithm Based on Clustering and an Improved Genetic Algorithm von Cheng, Rui, Yin, Lin-Zi, Jiang, Zhao-Hui, Xu, Xue-Mei

“… In this paper, a gate-level circuit partitioning algorithm, based on clustering and an improved genetic algorithm, is proposed for the gate-level simulation task …”
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Reusable components for partitioning clustering algorithms von Delibašić, Boris, Kirchner, Kathrin, Ruhland, Johannes, Jovanović, Miloš, Vukićević, Milan

“… Clustering algorithms are well-established and widely used for solving data-mining tasks …”
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Improving BIRCH hierarchical clustering algorithms for enhanced partitioning of medical data von Alshrouf, Faiz, Masadeh, Shadi, Al-Fraihat, Dimah, Al-Nsoor, Raed

“… The vast amounts of data, commonly known as big data, present an opportunity to extract hidden knowledge through various clustering algorithms …”
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A polynomial algorithm for balanced clustering via graph partitioning von Caraballo, Luis Evaristo, Díaz-Báñez, José-Miguel, Kroher, Nadine

“… •We propose a novel exact clustering algorithm based on a new quality measure.•The measure uses the maximum spanning tree of the underlying weighted graph …”
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