Search results for "K-means method"

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Hierarchical and non-hierarchical clustering methods to study students algebraic thinking in solving an open-ended questionnaire

2017

The problem of taking a data set and separating it into subgroups, where the members of each subgroup are more similar to each other than they are to members outside the subgroup, has been extensively studied in science and mathematics education research. Student responses to written questions and multiple-choice tests have been characterised and studied using several qualitative and/or quantitative analysis methods. However, there are inherent difficulties in the categorisation of student responses in the case of open-ended questionnaires. Very often, researcher bias means that the categories picked out tend to find the groups of students that the researcher is seeking out. In our contribu…

Settore FIS/08 - Didattica E Storia Della Fisicak-means methodAlgebraic thinking Clustering k-means method dendrogramsAlgebraic thinking[MATH] Mathematics [math][SHS] Humanities and Social SciencesSettore MAT/04 - Matematiche Complementari[MATH]Mathematics [math]dendrogramsComputingMilieux_MISCELLANEOUS[SHS]Humanities and Social Sciencesclustering
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Forms and Functions of the Real Estate Market of Palermo (Italy). Science and Knowledge in the Cluster Analysis Approach

2016

The analysis of the housing market of a city requires suitable approaches and tools, such as data mining models, to represent its complexity which derives on many elements, e.g. the type of capital asset-house is a common good and an investment good as well, the heterogeneity of the urban areas—each of them has own historical and representative values and different urban functions—and the variability of building quality. The housing market of the most densely populated area of Palermo (Italy), corresponding to ten districts, is analyzed to verify the degree of its inner homogeneity and the relations between the quality of the characteristics and the price of the properties. Five hundred set…

Engineeringmedia_common.quotation_subjectReal estate02 engineering and technologyDisease clusterHusing marketCluster analysisHusing market Data mining Cluster analysis k-means method0502 economics and business0202 electrical engineering electronic engineering information engineeringRegional scienceQuality (business)Operations managementCluster analysiK-means methodData miningmedia_commonStructure (mathematical logic)business.industry05 social sciencesUrban policyHousing marketSettore MAT/04 - Matematiche ComplementariInvestment (macroeconomics)Common goodCapital (economics)Settore ICAR/22 - Estimo020201 artificial intelligence & image processingbusiness050203 business & management
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