<?xml version='1.0' encoding='utf-8'?>
<resource xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns='http://datacite.org/schema/kernel-3' xsi:schemaLocation='http://datacite.org/schema/kernel-3 http://schema.datacite.org/meta/kernel-3/metadata.xsd'>
<creators>
<creator>
<creatorName>Pentiuc, S.</creatorName>
<affiliation>Universitatea „Ştefan cel Mare”, Suceava, România</affiliation>
</creator>
<creator>
<creatorName>Bobric, E.</creatorName>
<affiliation>Universitatea „Ştefan cel Mare”, Suceava, România</affiliation>
</creator>
<creator>
<creatorName>Bilius, L.</creatorName>
<affiliation>Universitatea „Ştefan cel Mare”, Suceava, România</affiliation>
</creator>
</creators>
<titles>
<title xml:lang='en'>Analysis with Unsupervised Learning Based Techniques of Load Factor Profiles and Hyperspectral Images</title>
</titles>
<publisher>Instrumentul Bibliometric National</publisher>
<publicationYear>2023</publicationYear>
<relatedIdentifier relatedIdentifierType='ISBN' relationType='IsPartOf'></relatedIdentifier>
<subjects>
<subject>machine learning</subject>
<subject>unsupervised learning</subject>
<subject>Clustering algorithms</subject>
<subject>load factor profiles</subject>
<subject>hyperspectral
images</subject>
</subjects>
<dates>
<date dateType='Issued'>2023</date>
</dates>
<resourceType resourceTypeGeneral='Text'>Conference Paper</resourceType>
<descriptions>
<description xml:lang='en' descriptionType='Abstract'><p>The problem of obtaining an optimal partition consistent with a series of partitions resulting from the application of various clustering algorithms is NP complete. A heuristic method based on the concepts of central partition and strong patterns developed by Edwin Diday [3] is proposed. It is presented the experience regarding the use of analysis techniques based on unsupervised learning methods of load factor profiles and hyperspectral images.</p></description>
</descriptions>
<formats>
<format>application/pdf</format>
</formats>
</resource>