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Cluster Keys
Cluster keys go hand in hand with micro-partitions. It may not be evident that all object micro-partitions have a cluster key, but they do....
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MySQL InnoDB Cluster and ClusterSet
MySQL InnoDB Cluster Set is primarily used for disaster recovery scenarios where it provides disaster recovery tolerance for a MySQL InnoDB Cluster...
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Cluster knowledge-driven vertical federated learning
In industrial scenarios, cross-departmental collaboration is necessary to achieve quality traceability. However, data cannot be shared due to privacy...
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Operating the EKS Cluster
In this chapter, we will learn about operating the EKS cluster we set up in the previous chapter. The typical tasks of systems engineering would be...
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Cluster-aware scheduling in multitasking GPUs
The streaming multiprocessor (SM) count in GPUs continues to increase to provide high computing power. To construct a scalable crossbar network that...
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Modification-fair cluster editing
The classic Cluster Editing problem (also known as Correlation Clustering ) asks to transform a given graph into a disjoint union of cliques...
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Cluster Editing for Multi-Layer and Temporal Graphs
Motivated by the recent rapid growth of research for algorithms to cluster multi-layer and temporal graphs, we study extensions of the classical Cluste...
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C-QoSRP: Cluster Based QOS-Routing Protocol for VANET in Highway Environment
AbstractThis paper presents a new cluster-based quality of service routing protocol (C-QoSRP) designed for VANET in a highway setting, offering the...
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Structural Parameterization of Cluster Deletion
In the weighted Cluster Deletion problem we are given a graph with non-negative integral edge weights and the task is to determine, for a target...
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Enhancing cluster analysis via topological manifold learning
We discuss topological aspects of cluster analysis and show that inferring the topological structure of a dataset before clustering it can...
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Customs valuation assessment using cluster-based approach
Customs duties are vital for national revenue, and deviations in declared values can lead to economic instability. This paper introduces a novel...
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Design and realization of hybrid resource management system for heterogeneous cluster
As user-generated data diversifies, an increasing number of big data tasks now encompass unstructured data forms, including audio, imagery, and video...
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MySQL NDB Cluster
MySQL offers different storage engines, that is, InnoDB, MyISM, NDB, etc. NDB is one type of storage engine of MySQL offering that is not part of the...
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Scheduling Containerized Workflow in Multi-cluster Kubernetes
Docker and Kubernetes have revolutionized the cloud-native technology ecosystem by offering robust solutions for containerization and orchestration...
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Adaptive load balancing in cluster computing environment
Owing to the availability of high computing servers and clusters to process the data, factors such as data skewness, class imbalance, and scalability...
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Cluster-Based Video Summarization with Temporal Context Awareness
In this paper, we present TAC-SUM, a novel and efficient training-free approach for video summarization that addresses the limitations of existing...
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Improved Genetic Algorithm Based k-means Cluster for Optimized Clustering
The Human Freedom Index (HFI) is an annual evaluation that measures a variety of factors, such as the rule of law, security, religion, expression,...
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Stochastic cluster embedding
Neighbor embedding (NE) aims to preserve pairwise similarities between data items and has been shown to yield an effective principle for data...
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2k-Vertex Kernels for Cluster Deletion and Strong Triadic Closure
Cluster deletion and strong triadic closure are two important NP-complete problems that have received significant attention due to their applications...
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Cluster Analysis
Clustering is an unsupervised learning technique to categorize data in the absence of defined categories in the sample data set. In this chapter, we...