Search Results - (( its application using algorithm ) OR ( some application clustering algorithm ))
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A novel clustering based genetic algorithm for route optimization
Published 2016“…Furthermore, the proposed algorithm converged to global solution within few iterations (generations) thus favoring its acceptability for online-realtime applications. …”
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Enhanced weight-based clustering algorithm to provide reliable delivery for VANET safety applications
Published 2019“…This has led to unstable clusters which could affect the timely delivery of safety applications. …”
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A survey: Challenges of image segmentation based fuzzy c-means clustering algorithm
Published 2024journal::journal article -
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Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
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Image Segmentation using Enhanced K-means Clustering with Hybrid Image Filtering for Acute Leukemia Blood Cells Microscopic Images
Published 2024thesis::master thesis -
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Feature clustering for pso-based feature construction on high-dimensional data
Published 2019“…The clustering of each features are proven to be accurate in feature selection (FS), however, only one study investigated its application in FC for classification. …”
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Backhaul load and performance optimality of partial joint processing schemes in LTE-A networks
Published 2014“…All these achieved because the proposed algorithm targets those users located at the cluster borders who more likely cause rank deficiency. …”
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On density-based data streams clustering algorithms: A survey
Published 2017“…The purpose of this paper is to shed light on some algorithms in the literature on density-based clustering over data streams. …”
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Conference or Workshop Item -
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Protein secondary structure prediction from amino acid sequences using a neural network classifier based on the Dempster-Shafer theory
Published 2003“…However, up to now there has been little further work reported pertaining to its improvements or applications. As a result, this research extends the initial work by examining its potential improvements and applicability in a new real world task such as the protein secondary structure prediction. …”
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QoS BASED ENERGY EFFICIENT ROUTING IN WIRELESS SENSOR NETWORK
Published 2012“…Clustering within normal sensor nodes is done by optimizing the network/coverage lifetime through a cluster-head-selection algorithm and a sleep/wake scheduling algorithm. …”
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Fuzzy clustering algorithms and their applications to chemical datasets
Published 2005“…In this paper a number of fuzzy clustering approaches like fuzzy c-mean, Gustafson and Kessel , Gath and Geva, fuzzy c-varieties, adaptive fuzzy , fuzzy based c-shell algorithms and some other aspects of fuzzy clustering are discussed.…”
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Enhanced Clustering Algorithms For Gray-Scale Image Segmentation
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Cluster Analysis of Data Points using Partitioning and Probabilistic Model-based Algorithms
Published 2014“…Some clustering algorithms, especially those that are partitioned-based, clusters any data presented to them even if similar features do not present. …”
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i-ManGoeS
Published 2017“…HuMan activity(Go) System (i-ManGoeS) using digital camera is important in library. Human Human activity system is an essential area in computer vision, with its wide range of applications including ambient assisted living. …”
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Book Section -
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On some methods of feature engineering useful for craniodental morphometrics of rats, shrews and kangaroos / Aneesha Pillay Balachandran Pillay
Published 2024“…A comparative study based on machine learning algorithms was also conducted by using all features and the RFE-selected features to classify the R. rattus sample based on the age groups. …”
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Web based clustering tool using K-MEAN++ algorithm / Muhammad Nur Syazwanie Aznan
Published 2019“…Even though, there is a tool for clustering, some of this tool required an expert knowledge in clustering in order to understand the results. …”
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Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
Published 2019“…Some researcher even used clustering to predict weather, natural disaster and many others. …”
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