Speciality Business Administration, Analytics and Information Systems
Library of the Faculty of Economics and of the Faculty of Business Administration

2021-11-14

2021

Karagiannis Ioannis

Παπακωνσταντίνου Σωτήριος, Ακαδημαικός Υπότροφος, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ
Αργυρίου Αθανάσιος, Βοηθός Διδασκαλίας, Τμήμα Οικονομικών Επιστημών, ΕΚΠΑ

Ολοκληρωμένη ανάπτυξη και δοκιμή αλγορίθμου συσταδοποίησης k-means σε python

Greek

k-means clustering algorithm development and testing in python

In recent years, keeping pace with the modern way of life, humanity is producing more and more data, due to the spread of social networks, new communication methods, the evolution of digital photography and the Internet of Things. Utilizing this data to produce useful information and make it into knowledge is the subject of several sciences. Machine Learning which is a field of Artificial Intelligence is one of them.

In this paper we will deal specifically with the k-means clustering method, which belongs to the category of unsupervised learning algorithms. We will refer at a theoretical level to the various methods of Machine Learning and then we will analyze k-means algorithm with its limitations and some practical examples of application. Next, we will refer to the algorithm developed in python programming language, in the context of this project, which provides visualization and analytical information to the user for the intermediate stages and iterations of k-means, which makes it suitable for training or demonstration purposes.

Technology - Computer science

Artificial Intelligence, Machine Learning, k-means, clustering, python

No

0

Yes

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https://pergamos.lib.uoa.gr/uoa/dl/object/2965656/file.pdf

https://pergamos.lib.uoa.gr/uoa/dl/object/2965656