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Unsupervised learning
Kantor, Jan ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The purpose of this work has been to describe some techniques which are normally used for cluster data analysis process of unsupervised learning. The thesis consists of two parts. The first part of thesis has been focused on some algorithms theory describing advantages and disadvantages of each discussed method and validation of clusters quality. There are many ways how to estimate and compute clustering quality based on internal and external knowledge which is mentioned in this part. A good technique of clustering quality validation is one of the most important parts in cluster analysis. The second part of thesis deals with implementation of different clustering techniques and programs on real datasets and their comparison with true dataset partitioning and published related work.
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Ethical Dilemmas of Foster Care
KANTOR, Jan
This bachelor's thesis deals with the aspects of foster care itself and also focuses on social workers who are involved in this branch. The aim of this work is to point out the most common ethical dilemmas, that the social workers in foster care have to deal with. The work has been divided into two parts - theoretical and practical. The theoretical part describes current situation in foster care. There are described forms of alternative family care including foster care, which is described more in detail. The theoretical part also deals with the topic of ethical dilemma in foster care and introduces the ethical codex for social workers. The practical part was processed through the qualitative strategy using the method of interviewing and the semi-structural interview technique. Partners for the interviews were social workers from non-profit organizations who guide the foster families. This selective sample was chosen according to the purposive sampling method.The snowball sampling method was also used in this work. The interviews were evaluated by using the open coding method and as a result were described nine categories. The research also helped to name three most common ethical dilemmas that the social workers have to deal with. This work also describes the aspects that help the social workers to solve these dilemmas. This bachelor's thesis can help social workers in foster care to understand and solve ethical dilemmas or also for further research
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Unsupervised learning
Kantor, Jan ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The purpose of this work has been to describe some techniques which are normally used for cluster data analysis process of unsupervised learning. The thesis consists of two parts. The first part of thesis has been focused on some algorithms theory describing advantages and disadvantages of each discussed method and validation of clusters quality. There are many ways how to estimate and compute clustering quality based on internal and external knowledge which is mentioned in this part. A good technique of clustering quality validation is one of the most important parts in cluster analysis. The second part of thesis deals with implementation of different clustering techniques and programs on real datasets and their comparison with true dataset partitioning and published related work.
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