A Mass-Based Approach for Local Outlier Detection

This paper proposes a new outlier detection approach that measures the degree of outlierness for each instance in a given dataset.The proposed model utilizes a mass-based dissimilarity measure to address the weaknesses of neighbor-based outlier models while detecting local outliers in the dataset within a variety of data point densities.In particul

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Chemical and Physical Indicators in Drinking Water and Water Sources of Boroujerd Using Principal Components Analysis

Abstract Background and Objective: Quality control of drinking Twin/Full Bunk Bed water is important for maintaining health and safety of consumers, and the first step is to study the water quality variables.This study aimed to evaluate the chemical and physical indicators, water quality variables and qualitative classification of drinking water st

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