issues, a parameter free AP (PFAP) is proposed to group big data on the basis of both distance and density. Firstly, it …, and the input parameter has a marked impact on DBSCAN (density-based spatial clustering of applications with noise … obtains a group of normalized density from the AP clustering. The estimated parameters are monotonically. Then, the density is …

the ML algorithms for analyzing variation in results, to find the best classification model and to analyze the merits and … demerits of these algorithms. KNN and PCA-KNN emerged to be the top individual and integrated models. The study also concluded …

Purpose Subsidiaries use their weight and/or voice to get attention for the initiatives they share with the … headquarters. The purpose of this paper is to examine whether subsidiaries with a low weight can effectively use their voice to get … of a multinational corporation. Findings Subsidiaries with a low weight are trapped in a vicious circle in which they are …

assessment of the telephone service provision by means of numerical indicators with differentiated weight. The proposed telephone …

specific strength, light weight, design flexibility, corrosion resistance, biodegradability and low cost. In this work, epoxy … prepared by varying their compositions in terms of weight percentage. The composites are fabricated by hand lay-up process and … Strength, Impact Strength, Hardness, Density and Water Absorption Capacity are evaluated and analysed. …

building constructions, because of its low density, light weight, low strength. Thus, these sawdust-sand-cement blocks can be …

nonparametric density and regression estimation suitable for an undergraduate econometrics class. We make connections to existing …