A clustering-based algorithm for the rectilinear steiner tree problem by Karimjee, Yousuali Karim

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A Tabu Search-Based Algorithm For The Fuzzy Clustering Problem by AlSultan, K.S.

“…We compare the performance of the algorithm with the fuzzy Cmeans algorithm.…”
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A GLOBAL ALGORITHM FOR THE FUZZY CLUSTERING PROBLEM by Selim, S.Z.

“…The global minimum solution of the problem is found using a simulated annealing-based algorithm. Some preliminary computational experiments are reported and the solution is compared with that generated by the Fuzzy C-means algorithm.…”
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Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

Subjects: “…Data clustering…”

Correlation Clustering via s-Club Cluster Edge Deletion by Makarem, Norma

“…In this work, we implement three approaches to tackle the 2-club clustering via edge deletion: a heuristic approach based on the influence of the edge to resolve maximum conflicts, a parameterized algorithm in which by deleting a maximum of k edges, the graph can be transformed into a 2-club cluster based on a branching algorithm, and the approach in Integer Linear Programming to find the optimized solution in an integer formulation. …”
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Eye-Clustering: An Enhanced Centroids Prediction for K-means Algorithm by Nasser, Youssef

“…Various clustering methods are available, including K-means, hierarchical clustering, and density-based clustering. …”
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A new approach to record clustering for large databases. (c1997) by Makhoulian, Raffi H.

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Improved search-tree algorithms for the cluster edit problem. (c2011) by Ghrayeb, Ali Kassem

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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

How can algorithms help in segmenting users and customers? A systematic review and research agenda for algorithmic customer segmentation by Joni Salminen (7434770)

“…Typically, studies generate four segments, although the maximum number rarely exceeds twenty, and in most cases, is less than ten. Based on these findings, we propose seven key goals and three practical implications to enhance customer segmentation research and application.…”

A cluster-based model for QoS-OLSR protocol by Otrok, Hadi

“…These objectives can be reached by deploying the clustering concept to QOLSR. Therefore, we propose a novel clustering algorithm and a relay node selection based on different combinations of metrics, such as connectivity, residual energy, and bandwidth. …”
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Day-Ahead Load Demand Forecasting in Urban Community Cluster Microgrids Using Machine Learning Methods by Sivakavi Naga Venkata Bramareswara Rao (15944992)

“…From the results, it is found that the Levenberg–Marquardt optimization algorithm-based ANN model gives the best electrical load forecasting results.…”

A clustering metaheuristic for large orienteering problems by Almiqdad Elzein (13141038)

“…Motivated by these limitations, we propose a multi-stage clustering-based metaheuristic for tackling large Orienteering Problems in an effective, strategically controlled amount of computation time. …”

Fault detection and classification in hybrid energy-based multi-area grid-connected microgrid clusters using discrete wavelet transform with deep neural networks by S. N. V. Bramareswara Rao (21768302)

“…With this intent, this work proposes a “Discrete Wavelet Transform with Deep Neural Network (DWT-DNN)” for detecting and classifying the various faults that occurred in hybrid energy-based multi-area grid-connected microgrid clusters. …”

Deep Learning-Based Short-Term Load Forecasting Approach in Smart Grid With Clustering and Consumption Pattern Recognition by Dabeeruddin Syed (16864260)

“…A k-Medoid based algorithm is employed for clustering whereas the forecasting models are generated for different clusters of load profiles. …”

Orthogonal Learning Rosenbrock’s Direct Rotation with the Gazelle Optimization Algorithm for Global Optimization by Abu Zitar, Raed

“…The gazelle optimization algorithm (GOA) is a global stochastic optimizer that is straightforward to comprehend and has powerful search capabilities. …”
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Reputation-based cooperative detection model of selfish nodes in cluster-based QoS-OLSR protocol. (c2014) by Moati, Nadia

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A static test compaction technique for combinational circuits based on independent fault clustering by Osais, Y.E.

“…The algorithm is referred to as independent fault clustering. …”
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Design of acoustic absorbing metasurfaces using a data-driven approach by Hamza Baali (14603380)

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Efficient Test Compaction for Combinational Circuits Based on Fault Detection Count-Directed Clustering by El-Maleh, Aiman H.

“…In this paper, we present a new static test compaction algorithm based on test vector decomposition and clustering. …”
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