Modeling and Control of a Robot Based Rehabilitation System for the Head-Neck Joint حسب Raslan, Ismail Tareq

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

"…We found researchers employing 46 different algorithms and 14 different evaluation metrics. For the algorithms, K-means clustering is the most employed. …"

Multi Self-Organizing Map (SOM) Pipeline Architecture for Multi-View Clustering حسب Saadia Jamil (22045946)

"…Finally, this study proposed a novel multi-view learning framework that analyzes multi-source data and generates fine clusters efficiently.…"

NEW ALGORITHMS FOR SOLVING THE FUZZY CLUSTERING PROBLEM حسب Kamel, M.S.

"…Two new algorithms for fuzzy clustering are presented. Convergence of the proposed algorithms is proved. …"
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Computational Experience On Four Algorithms For The Hard Clustering Problem حسب AlSultan, K.S.

"…In this paper, we study the four algorithms and compare their computational performance for the clustering problem. …"
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A new approach to record clustering for large databases. (c1997) حسب Makhoulian, Raffi H.

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Correlation Clustering with Overlaps حسب Fakhereldine, Amin

"…We present a heuristic algorithm and a semi-exact algorithm for the Multi-Parameterized Cluster Editing with Vertex Splitting problem. …"
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An enhanced k-means clustering algorithm for pattern discovery in healthcare data حسب Haraty, Ramzi A.

"…Data mining approaches offer the methodology and technology to transform these heterogeneous data into meaningful information for decision making. This paper studies data mining applications in healthcare. Mainly, we study k-means clustering algorithms on large datasets and present an enhancement to k-means clustering, which requires k or a lesser number of passes to a dataset. …"
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Variable Selection in Data Analysis: A Synthetic Data Toolkit حسب Mitra, Rohan

"…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …"
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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique حسب J. Jayapradha (21323774)

Correlation Clustering via 2-Club Clustering with Vertex Splitting حسب Thoumi, Sergio

"…In the realm of graph theory, correlation cluster is studied as a graph modification problem known under "Cluster Editing." …"
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Parallel scatter search algorithms for exam timetabling. (c2009) حسب Haidar, Ghia Abdullah Sleiman

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UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data حسب Behrouz Ahadzadeh (19757022)

"…UniBFS exploits the inherent characteristic of binary algorithms-binary coding-to search the entire problem space for identifying relevant features while avoiding irrelevant ones. …"

A hybrid of clustering and meta-heuristic algorithms to solve a p-mobile hub location–allocation problem with the depreciation cost of hub facilities حسب Mahdi Mokhtarzadeh (11593310)

"…The results indicate that KNSGA-II is superior to other algorithms. Also, a case study in Iran is implemented and the related results are analyzed.…"

On the complexity of multi-parameterized cluster editing حسب Abu-Khzam, Faisal

"…A multi-parameterized version of the problem is studied, featuring a number of constraints that bound the amounts of both edge-additions and deletions per single vertex, as well as the size of a clique-cluster. …"
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Auto-indexing Arabic texts based on association rule data mining. (c2015) حسب Rouba G. Nasrallah

"…Our model denotes extracting new relevant words by relating those chosen by the previous classical methods, to new words using data mining rules. …"
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A TABU SEARCH APPROACH TO THE CLUSTERING PROBLEM حسب AlSultan, K.S.

"…The problem is a nonconvex program that has many local minima. It has been studied by many researchers and the most well-known algorithm for solving it is the k-means algorithm. …"
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Label dependency modeling in Multi-Label Naïve Bayes through input space expansion حسب PKA Chitra (21749216)

"…We subject our enhanced iMLNB model to a rigorous empirical evaluation, utilizing six benchmark datasets. …"

Clustering records in information retrieval systems. (c1995) حسب Al-Saffar, Maisaa

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Estimating Construction Project Duration Using a Machine Learning Algorithm حسب Nasr, Joshua

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