Essays about: "Kohonen"
Showing result 1 - 5 of 7 essays containing the word Kohonen.
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1. Geophysical Data from Norrbotten, Sweden - Evidence for the Presence of a Crustal Scale Fault?
University essay from Luleå tekniska universitet/Geovetenskap och miljöteknikAbstract : The method of combining multiple geophysical, geological, or geochemical datasets can reveal patterns of otherwise hidden features in the Earth’s crust. This may aid in geological mapping, locating economic mineral deposits and for general anomaly/feature detection. READ MORE
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2. Clustering of Financial Account Time Series Using Self Organizing Maps
University essay from KTH/Matematisk statistikAbstract : This thesis aims to cluster financial account time series by extracting global features from the time series and by using two different dimensionality reduction methods, Kohonen Self Organizing Maps and principal component analysis, to cluster the set of the time series by using K-means. The results are then used to further cluster a set of financial services provided by a financial institution, to determine if it is possible to find a set of services which coincide with the time series clusters. READ MORE
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3. Classify part of day and snow on the load of timber stacks : A comparative study between partitional clustering and competitive learning
University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologiAbstract : In today's society, companies are trying to find ways to utilize all the data they have, which considers valuable information and insights to make better decisions. This includes data used to keeping track of timber that flows between forest and industry. READ MORE
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4. Using Self-Organizing Maps to Identify Operational Risk
University essay from Lunds universitet/Matematisk statistikAbstract : In recent years, the awareness and concern for operational risk in financial institutions have increased, and several disastrous events in the last two decades been caused by human error. With this, the regulatory demands have increased on the financial institutions to control operational risk. READ MORE
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5. Unsupervised learning with mixed type data : for detecting money laundering
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : The purpose of this master's thesis is to perform a cluster analysis on parts of Handelsbanken's customer database. The ambition is to explore if this could be of aid in identifying type customers within risk of illegal activities such as money laundering. READ MORE