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20182020
most citedStudy and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository

85 citations · 382 across the 8 of their papers we have counts for

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cs.LG2020★ 20 cited

Prediction of Temperature and Rainfall in Bangladesh using Long Short Term Memory Recurrent Neural Networks

Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib +3

Temperature and rainfall have a significant impact on economic growth as well as the outbreak of seasonal diseases in a region. In spite of that inadequate studies have been carrie…

cs.LG2019★ 39 cited

Non-Intrusive Electrical Appliances Monitoring and Classification using K-Nearest Neighbors

Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Shadman Sakib

Non-Intrusive Load Monitoring (NILM) is the method of detecting an individual device's energy signal from an aggregated energy consumption signature [1]. As existing energy meters…

cs.LG2018★ 2 cited

Implementation of Fuzzy C-Means and Possibilistic C-Means Clustering Algorithms, Cluster Tendency Analysis and Cluster Validation

Md. Abu Bakr Siddique, Rezoana Bente Arif, Mohammad Mahmudur Rahman Khan +1

In this paper, several two-dimensional clustering scenarios are given. In those scenarios, soft partitioning clustering algorithms (Fuzzy C-means (FCM) and Possibilistic c-means (P…

cs.LG2018★ 74 cited

ADBSCAN: Adaptive Density-Based Spatial Clustering of Applications with Noise for Identifying Clusters with Varying Densities

Mohammad Mahmudur Rahman Khan, Md. Abu Bakr Siddique, Rezoana Bente Arif +1

Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm which has the high-performance rate for dataset where clusters have the constant…

cs.LG2018★ 85 cited

Study and Observation of the Variation of Accuracies of KNN, SVM, LMNN, ENN Algorithms on Eleven Different Datasets from UCI Machine Learning Repository

Mohammad Mahmudur Rahman Khan, Rezoana Bente Arif, Md. Abu Bakr Siddique +1

Machine learning qualifies computers to assimilate with data, without being solely programmed [1, 2]. Machine learning can be classified as supervised and unsupervised learning. In…