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<article-title>Perception, Space Metrics and Data Mining</article-title>
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<author>Horia-Nicolai L. Teodorescu<sup>1</sup> and Alina S. Hulea<sup>2</sup>  </author>

<aff><sup>1</sup>&#8220;Gheorghe Asachi&#8221; Technical University of Iasi, Romania and <br/>Institute of Computer Science of the Romanian Academy, <br/>Iasi, Romania. </aff>

<aff><sup>2</sup>&#8220;Gheorghe Asachi&#8221; Technical University of Iasi, Romania. </aff>

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<title>ABSTRACT</title>
<p> We present a roadmap study for developing methods and related algorithms for clustering, classification, and knowledge generation that are suitable for unknown planar and non-planar spaces with unknown metrics. We exemplify the methods with a sketch for the medical field. This article constitutes an example of preliminary research plan in a domain that is today rich in applications and up-to-date.  </p><p><italic>Keywords: </italic>Data-mining, Data-analytics, Perception, Clustering, Non-planar geometry, Elliptic geometry. </p>
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