Abstract: This study presents a comparative analysis of the BIRCH and CURE clustering algorithms for identifying global carbon emission patterns, with the addition of a hybrid adaptive approach.

Most of the models are completed in a single file and implemented in a simple way. The machine learning part of the code does not use any external libraries, except for the loading part of the ONNX ...

Professor of Management Science Associate Dean for Research and Innovation Maria Paola Scaparra is a Professor of Management Science and a member of the Centre for Logistics and Heuristic Optimisation ...

The package provides support for modeling and simulating data streams as well as an extensible framework for implementing, interfacing and experimenting with algorithms for various data stream mining ...

Abstract: The BIRCH-AHC two-layer clustering algorithm is presented to reduce a large number of photovoltaic output scenarios. In the presented algorithm, CH index is introduced to select the ...

This article describes a non-parametric clustering algorithm with an outlier removal step. Our method is based on tools from topological data analysis: we define a new filtration on metric spaces ...

SINGAPORE – Mr Mohammad Shanta was just 21 when he came to Singapore from Bangladesh in 2011 to work and support his family back home. “When I first came to Singapore, I was a general worker. I did ...