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Browsing by Subject "Clustering"

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AutoElbow: An automatic elbow detection method for estimating the number of clusters in a dataset

Author: Onumanyi, Adeiza J ; Molokomme, Daisy N ; Isaac, Sherrin J ; Abu-Mahfouz, Adnan MI Date: 2022 The elbow technique is a well-known method for estimating the number of clusters required as a starting parameter in the K-means algorithm and certain other unsupervised machine-learning algorithms. However, due to the graphical output nature ... Read more
Automated land cover change detection: the quest for meaningful high temporal time series extraction

Author: Salmon, BP ; Olivier, JC ; Kleynhans, W ; Wessels, Konrad J ; Van den Bergh, F Date: Jul 2010 An automated land cover change detection method is proposed that uses coarse resolution hyper-temporal satellite time series data. The study compared two different unsupervised clustering approaches that operate on the short term Fourier ... Read more
Cluster-based tangible programming

Author: Smith, Andrew C Date: May 2014 Clustering is the act of grouping items that belong together. In this paper we explore clustering as a means to construct tangible program logic, and specifically as a means to use multiple tangible objects collectively as a single tangible ... Read more
Comprehensive analysis of energy efficiency schemes in the Internet of Things

Author: Mntuwaphi, ND ; Isong, B ; Gasela, N ; Abu-Mahfouz, Adnan MI Date: Nov 2020 Internet of things (IoT) is an innovative technology that has gained significant research attention in recent years and is still gaining momentum. This technology permits communication between humans and objects or objects with objects to ... Read more
Given a SDN topology, how many controllers are needed and where should they go?

Author: Mamushiane, Lusani ; Mwangama, J ; Lysko, Albert A Date: Nov 2018 Software Defined Networking (SDN) presents a paradigm shift in network management and configuration. The idea of having an externalized control plane opens many unanswered questions regarding scalability, fault tolerance and performance of ... Read more
HP: A light-weight hybrid algorithm for accurate data partitioning

Author: Olukanmi, P ; Nelwamondo, Fulufhelo V ; Marwala, T Date: Aug 2020 This paper introduces a hybridization of the k-means and k-medoids paradigms. The new algorithms is named HP (hybrid partitioning) algorithm. Specifically, we improve on a recently developed scalable version of k-means (k-means-lite), by ... Read more
A mechanism for energy efficiency in cognitive radio sensor networks based on sleep-wake scheduling strategy

Author: Ntshabele, K ; Isong, B ; Abu-Mahfouz, Adnan MI Date: Dec 2021 Inefficient energy utilization in the cognitive radio sensor networks (CRSNs) is a serious challenge that adversely affects its performance and quality of service (QoS). Several different strategies and mechanisms have been proposed and ... Read more
Model for election night forecasting applied to the 2004 South African elections

Author: Greben, JM ; Elphinstone, E ; Holloway, Jennifer P Date: Jun 2006 A novel model has been developed to predict elections on the basis of early results. The electorate is clustered according to their behaviour in previous elections. Early results in the new elections can then be translated into voter behaviour ... Read more
Orthographic measures of language distances between the official South African languages.

Author: Zulu, PN ; Botha, G ; Barnard, E Date: 2007 Two methods for objectively measuring similarities and dissimilarities between the 11 official languages of South Africa are described. The first concerns the use of n-grams. The confusions between different languages in a text-based language ... Read more
Rethinking k-means clustering in the age of massive datasets: A constant-time approach

Author: Olukanmi, P ; Nelwamondo, Fulufhelo V ; Marwala, T Date: Dec 2019 We introduce a highly efficient k-means clustering approach. We show that the classical central limit theorem addresses a special case (k=1) of the k-means problem and then extend it to the general case. Instead of using the full dataset, our ... Read more
Topic models for conference session assignment: organising PRASA 2014(5)

Author: Burke, Michael G ; Sabatta, D Date: Nov 2015 Conference scheduling and organising is a particularly laborious task and can be exteremely time consuming. While many online conference platforms allow manual topic selection, these can be expensive and typically still require that individual ... Read more
Unsupervised land cover change detection: meaningful sequential time series analysis

Author: Salmon, BP ; Olivier, JC ; Wessels, Konrad J ; Kleynhans, W ; Van den Bergh, F ; Steenkamp, Karen C Date: Jun 2011 An automated land cover change detection method is proposed that uses coarse spatial resolution hyper-temporal earth observation satellite time series data. The study compared three different unsupervised clustering approaches that operate ... Read more

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Browsing by Subject "Clustering"

Browsing by Subject "Clustering"

Browse

All of ResearchSpace

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