Clustering online-marketplace customers’ heterogeneous data applying unsupervised learning methods
Date
2022
Authors
Hrytsiuk, Kostiantyn
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Abstract
The commonchallengeinunderstandingtheinsightsfromtheonlinecustomers’
data istheirsegmentation.Sincetheyhavebothcontinuousandcategoricalfea-
tures,thereisnostraightforwardwaytoobtainvaluableclustersbuiltonfeaturesof
differenttypes.
In thiswork,wewanttocompareexistingalgorithmsforclusteringmixeddata
and theapplicationofdifferentmethodstomeasurenon-euclidiandistancesbe-
tween datapoints.Theeffectivenessofeach"algorithm-distancemeasure"pair
will beevaluatedonthereal-lifesubscriptioncustomersdataset.
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Citation
Hrytsiuk Kostiantyn. Clustering online-marketplace customers’ heterogeneous data applying unsupervised learning methods. Bachelor Thesis. Ukrainian Catholic University, Faculty of Applied Sciences, Department of Computer Sciences. Lviv 2022, 51 p.