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Authors: Deepika Verma 1 ; Kerstin Bach 1 and Paul Mork 2

Affiliations: 1 Department of Computer Science, Norwegian University of Science and Technology, Trondheim, Norway ; 2 Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway

ISBN: 978-989-758-395-7

ISSN: 2184-433X

Keyword(s): Case-based Reasoning, Knowledge Intensive Similarity Measures, Physical Activity, K-Means.

Abstract: In this paper, we reuse the Case-Based Reasoning model presented in our last work (Verma et al., 2018) to create a new knowledge intensive similarity-based clustering method that clusters a case base such that the intra-cluster similarity is maximized. In some domains such as recommender systems, the most similar case may not always be the desired one as a user would like to find the closest, yet significantly different cases. To increase the variety of returned cases, clustering a case base first, before the retrieval is executed increases the diversity of solutions. In this work we demonstrate a methodology to optimize the cluster coherence as well to determine the optimal number of clusters for a given case base. Finally, we present an evaluation of our clustering approach by comparing the results of the quality of clusters obtained using our knowledge intensive similarity-based clustering approach against that of the state-of-the-art K-Means clustering method.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Verma, D.; Bach, K. and Mork, P. (2020). Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures. In Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART, ISBN 978-989-758-395-7 ISSN 2184-433X, pages 660-667. DOI: 10.5220/0008980406600667

@conference{icaart20,
author={Deepika Verma. and Kerstin Bach. and Paul Mork.},
title={Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures},
booktitle={Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,},
year={2020},
pages={660-667},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008980406600667},
isbn={978-989-758-395-7},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 12th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART,
TI - Clustering of Physical Behaviour Profiles using Knowledge-intensive Similarity Measures
SN - 978-989-758-395-7
IS - 2184-433X
AU - Verma, D.
AU - Bach, K.
AU - Mork, P.
PY - 2020
SP - 660
EP - 667
DO - 10.5220/0008980406600667

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