Search Results - "Partitioning clustering algorithm"

A hybrid approach for text clustering by Ajmi Al-Shuwaili, Saad O., Obied Redywi, Sadiq, Naser, Mustafa A.

“…This paper deals with automatic clustering algorithm, which partitions a many of objects to get smaller sets (clusters). Where objects of the one set are…”
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A Clustering Visualization Method for Density Partitioning of Trajectory Big Data Based on Multi-Level Time Encoding by Wei, Boan, Zhang, Jianqin, Hu, Chaonan, Wen, Zheng

“… it with the K-means clustering algorithm, a novel density-based partitioning clustering algorithm…”
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An Ameliorated Partitioning Clustering Algorithm by Chouhan, Raghavi, Chauhan, Abhishek

“…Original K-medoid algorithm use to take initial medoids arbitrarily that bears on the resulting clusters and it leads to unstable and empty clusters which are…”
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Effective Clustering Analysis Based on New Designed Clustering Validity Index and Revised K-Means Algorithm for Big Data by Zhu, Erzhou, Wen, Peng, Zhu, Binbin, Liu, Feng, Wang, Futian, Li, Xuejun

“…Clustering tries to find the natural structure of input datasets and partitions them into groups or clusters. As an unsupervised pattern classification method,…”
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Clustering for high dimensional data by Kumar Sharma, Varun, Bala, Anju

“…Clustering is an exploratory data analysis technique, which categorizes the dataset into some groups. These groups are formed in a way so that items which have…”
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Students Academic Performance Using Partitioning Clustering Algorithms by 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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Reusable components for partitioning clustering algorithms by Delibašić, Boris, Kirchner, Kathrin, Ruhland, Johannes, Jovanović, Miloš, Vukićević, Milan

“…Clustering algorithms are well-established and widely used for solving data-mining tasks. Every clustering algorithm is composed of several solutions for…”
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Extended Quality (eQual): Radial Threshold Clustering Based on n -ary Similarity by Chen, Lexin, Smith, Micah, Roe, Daniel R, Miranda-Quintana, Ramón Alain

“…), an ( ) algorithm with several novel features. Daura et al.'s RTC algorithm is a partitioning clustering algorithm that groups similar frames together based on their similarity to the seed configuration…”
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Partitioning clustering algorithms for protein sequence data sets by Fayech, Sondes, Essoussi, Nadia, Limam, Mohamed

“…Background Genome-sequencing projects are currently producing an enormous amount of new sequences and cause the rapid increasing of protein sequence databases…”
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Evaluation of Partitioning Clustering Algorithms for Processing Social Media Data in Tourism Domain by Renjith, Shini, Sreekumar, A., Jathavedan, M.

“…Recommender systems are evolving as an essential part of every industry with no exception to travel and tourism segment. Considering the exponential increase…”
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Correlation between lead exposure and cognitive function in 12-year-old children: a systematic review and meta-analysis by Heidari, Serve, Mostafaei, Shayan, Razazian, Nazanin, Rajati, Mojgan, Saeedi, Anahita, Rajati, Fatemeh

“… The 16 studies were divided into two clusters according to “duration of exposure” and “dose” using k-means partitioning clustering algorithm…”
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Partitioning hard clustering algorithms based on multiple dissimilarity matrices by 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…”
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Scaling Up Synchronization-Inspired Partitioning Clustering by Ying, Wenhao, Chung, Fu-Lai, Wang, Shitong

“…Based on the extensive Kuramoto model, synchronization-inspired partitioning clustering algorithm was recently proposed and is attracting more and more attentions, due to the fact that it simulates…”
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A novel stratification clustering algorithm based on a new local density estimation method and an improved local inter-cluster distance measure by Qi, Jianfang, Li, Yue, Jin, Haibin, Feng, Jianying, Tian, Dong, Mu, Weisong

“…Recently clustering for datasets with different shapes, densities and noises has attracted more and more attention from scholars. However, most current…”
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Intelligent multi-criteria seismic damage evaluation of RC columns using two-stage unsupervised and supervised learning by Yahyapour, Amirali, Azhari, Samira, Hamidia, Mohammadjavad

“…The common seismic design and performance evaluation of the buildings is based on the limit states of the peak drift ratio defined in seismic codes. However,…”
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Segmentation using large language models: A new typology of American neighborhoods by Singleton, Alex D., Spielman, Seth

“… from the American Community Survey (ACS). We employ a partitioning clustering algorithm to a range of socio-economic, demographic, and built environment variables…”
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Partitioning Clustering algorithms for handling numerical and categorical data: a review by Trupti M Kodinariya Dr Prashant R Makwana

“…Clustering is widely used in different field such as biology, psychology, and economics. Most traditional clustering algorithms are limited to handling…”
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FedRFC: Federated Learning with Recursive Fuzzy Clustering for improved non-IID data training by Deng, Yuxiao, Wang, Anqi, Zhang, Lei, Lei, Ying, Li, Beibei, Li, Yizhou

“…In contemporary times, artificial intelligence is extensively applied across domains, concurrently raising concerns about privacy breaches. In response,…”
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Extended Quality (eQual): Radial threshold clustering based on n-ary similarity by Chen, Lexin, Smith, Micah, Roe, Daniel R, Miranda-Quintana, Ramón Alain

“… Daura et al's RTC algorithm is a partitioning clustering algorithm that groups similar frames together based on their similarity to the seed configuration…”
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Solving the Many to Many Grouped Task Allocation Problem via E-CARGO by Rasoolabadi, Mozhdeh Noroozi, Zhu, Haibin, Wang, Chun

“…The task allocation between team members of each organization's departments is a crucial project management activity that needs adequate attention to improve…”
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