3 publications
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A Novel Clustering Techniques Evaluation using Monte Carlo SimulationBy Md.Siraj- Ud- Doulah, Md. Abdul Hamid, Md. Nazmul Islam, Mosfaka Aktar
Abstract: In Machine Learning clustering is one the most significant method. Today, we have data in rich from many sources but in order to get meaningful information from it is very boring task. Machine learning clustering algorithms to create cluster to decode the meaningful information from the data, this analysis approach has gained much popularity in recent years. This paper explores evaluation performance of frequently used existing clustering techniques such as …
Published in Research & Reviews : Journal of Statistics · Vol. 10, Issue 3, 2021 · pp. 1–23 Read article →
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Performance Analysis of Hierarchical and Non Hierarchical Clustering TechniquesBy Md.Siraj- Ud- Doulah, Md. Azizul Hakim, Md. Abdul Hamid
Abstract: Clustering is a procedure to organizing the objects in to groups or clustered together, based on the principle of minimizing the intra-class similarity. The various clustering algorithms are analyzed and compare the performance of clustering algorithms on aspect for validity indices to build the model. The aim is to judge the efficiency of different clustering techniques on wine dataset and determine the optimum algorithm. The results show that complete linkage …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 54–71 Read article →
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Factor Analysis of Crime DataBy Md.Siraj- Ud- Doulah, Charls Darwin, Ummi Salma, Md.Abdul Hamid, Mosfaka Aktar
Abstract: Crime analysis is an act implementation function that includes organized investigation for increasing clarifications to crime problems, and articulating crime stoppage outlines. The main part of crime analysis process is the quantitative social science data analysis methods, though qualitative methods for instance inspecting police report tales also performance a character. This paper analyses US crime data by applying multivariate factor analysis techniques that was engaged to describe the association between …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 2, 2020 · pp. 20–32 Read article →