National Repository of Grey Literature 4 records found  Search took 0.00 seconds. 
Unsupervised learning
Končinský, Petr ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The aim of the (diploma) thesis was to identify problems of unsupervised learning. At first I focus on the most essential parts of unsupervised learning. One of the most fundamental parts, on which the project is focused on, is cluster analysis. I give a detailed description of cluster analysis and the final product is a single program which was programmed in C++ language. At analysis I describe tasks with particular variables which I use to run various mathematical operations. At metrics which belong to the most important part of cluster analysis I am concerned with mutual similarity relations between objects and I compute their inter-cluster distances for other clusters. Furthermore, I do not omit other methods belonging to unsupervised learning, principal components analysis and factor analysis are not less important. In my project I attempted to do a survey of methods which are involved in machine learning, in our case in unsupervised learning.
Unsupervised learning
Končinský, Petr ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The aim of the (diploma) thesis was to identify problems of unsupervised learning. At first I focus on the most essential parts of unsupervised learning. One of the most fundamental parts, on which the project is focused on, is cluster analysis. I give a detailed description of cluster analysis and the final product is a single program which was programmed in C++ language. At analysis I describe tasks with particular variables which I use to run various mathematical operations. At metrics which belong to the most important part of cluster analysis I am concerned with mutual similarity relations between objects and I compute their inter-cluster distances for other clusters. Furthermore, I do not omit other methods belonging to unsupervised learning, principal components analysis and factor analysis are not less important. In my project I attempted to do a survey of methods which are involved in machine learning, in our case in unsupervised learning.
Unsupervised learning
Končinský, Petr ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The aim of the (diploma) thesis was to identify problems of unsupervised learning. At first I focus on the most essential parts of unsupervised learning. One of the most fundamental parts, on which the project is focused on, is cluster analysis. I give a detailed description of cluster analysis and the final product is a single program which was programmed in C++ language. At analysis I describe tasks with particular variables which I use to run various mathematical operations. At metrics which belong to the most important part of cluster analysis I am concerned with mutual similarity relations between objects and I compute their inter-cluster distances for other clusters. Furthermore, I do not omit other methods belonging to unsupervised learning, principal components analysis and factor analysis are not less important. In my project I attempted to do a survey of methods which are involved in machine learning, in our case in unsupervised learning.
Unsupervised learning
Končinský, Petr ; Sáblík, Václav (referee) ; Honzík, Petr (advisor)
The aim of the (diploma) thesis was to identify problems of unsupervised learning. At first I focus on the most essential parts of unsupervised learning. One of the most fundamental parts, on which the project is focused on, is cluster analysis. I give a detailed description of cluster analysis and the final product is a single program which was programmed in C++ language. At analysis I describe tasks with particular variables which I use to run various mathematical operations. At metrics which belong to the most important part of cluster analysis I am concerned with mutual similarity relations between objects and I compute their inter-cluster distances for other clusters. Furthermore, I do not omit other methods belonging to unsupervised learning, principal components analysis and factor analysis are not less important. In my project I attempted to do a survey of methods which are involved in machine learning, in our case in unsupervised learning.

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