Search Results - "Batch clustering algorithm"

A clustering-based analysis method for simulating seismic damage of buildings in large cities by Chen, Xianan, Zhang, Lingxin, Lin, Xuchuan, Skalomenos, Konstantinos A., Chen, Zifeng

“…Earthquakes are major threats to cities. Refined simulations of urban earthquake damage are significant for disaster prevention planning, including…”
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Batch clustering algorithm for big data sets by Alguliyev, Rasim, Aliguliyev, Ramiz, Bagirov, Adil, Karimov, Rafael

“…Vast spread of computing technologies has led to abundance of large data sets. Today tech companies like, Google, Facebook, Twitter and Amazon handle big data…”
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Parallel batch k-means for Big data clustering by Alguliyev, Rasim M., Aliguliyev, Ramiz M., Sukhostat, Lyudmila V.

“…•This paper proposes a new parallel batch clustering algorithm based on k-means.•The algorithm increases the clustering speed…”
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A comparison of small-batch clustering and charge-comparison methods for n/γ discrimination using a liquid scintillation detector by Wang, Feipeng, Yang, Minghan, Wang, Jianye, Shen, Shuifa, Hong, Bing

“…In this study, a novel neutron and γ-ray (n/γ) discrimination method based on a small-batch clustering algorithm has been developed to improve the discrimination performance of an EJ-301 liquid scintillator detector…”
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Minimising makespan heuristics for scheduling a single batch machine processing machine with non-identical job sizes by Lee, Yoon Ho, Lee, Young Hoon

“…In this paper, the problem of minimising maximum completion time on a single batch processing machine is studied. A batch processing is performed on a machine…”
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Gradient Descent Batch Clustering for Image Classification by Park, Jae-Sam

“…The batch clustering algorithm for classification application requires the initial parameters and also has a drifting phenomenon for the stochastic process…”
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Small-variance nonparametric clustering on the hypersphere by Straub, Julian, Campbell, Trevor, How, Jonathan P., Fisher, John W.

“… The first, DP-vMF-means, is a batch clustering algorithm derived from the Dirichlet process (DP) vMF mixture…”
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Small-Variance Nonparametric Clustering on the Hypersphere by Straub, Julian, Campbell, Trevor, How, Jonathan P, Fisher, John W

“… The first, DP-vMF-means, is a batch clustering algorithm derived from the Dirichlet process (DP) vMF mixture…”
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Distributed efficient multimodal data clustering by Jia Chen, Schizas, Ioannis D.

“… A pertinent minimization formulation is put forth, while block coordinate descent is employed to derive a batch clustering algorithm which achieves better clustering performance than existing alternatives…”
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Colour quantisation using the adaptive distributing units algorithm by Celebi, M. E., Hwang, S., Wen, Q.

“… Unfortunately, like many batch clustering algorithms, k-means is highly sensitive to the selection of the initial cluster centres…”
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BYOCL: Build Your Own Consistent Latent with Hierarchical Representative Latent Clustering by Dai, Jiayue, Wang, Yunya, Fang, Yihan, Chen, Yuetong, Xiong, Butian

“… Our approach leverages the SAM image encoder for feature extraction, followed by Intra-Batch and Inter-Batch clustering algorithms…”
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SECLEDS: Sequence Clustering in Evolving Data Streams via Multiple Medoids and Medoid Voting by Azqa Nadeem, Verwer, Sicco

“…Sequence clustering in a streaming environment is challenging because it is computationally expensive, and the sequences may evolve over time. K-medoids or…”
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Links: A High-Dimensional Online Clustering Method by Mansfield, Philip Andrew, Wang, Quan, Downey, Carlton, Li, Wan, Ignacio Lopez Moreno

“… The algorithm is appropriate when it is necessary to cluster data efficiently as it streams in, and is to be contrasted with traditional batch clustering algorithms that have access to all data at once…”
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An Experimental Comparison of Several Clustering and Initialization Methods by Meila, Marina, Heckerman, David

“…We examine methods for clustering in high dimensions. In the first part of the paper, we perform an experimental comparison between three batch clustering algorithms…”
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