Essays about: "Hierarchical Clustering"
Showing result 1 - 5 of 106 essays containing the words Hierarchical Clustering.
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1. Fixation and Machine Learning A new method for measuring fixation in internet users using machine learning and natural language processing
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Fixation — the state of mind where an individual is intensely fixated on one individual, activity or idea — can be an early warning sign of an individual that will later go on to commit violent acts. This paper details the development of a method that measures fixation from texts written on internet forums, a method that could (when expanded) be a part of threat assessment and prevention of violence. READ MORE
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2. Exploring the Applications of Machine Learning in the Public Sector
University essay from Lunds universitet/Fysiska institutionen; Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisationAbstract : Despite the many use cases for machine learning, it sees minimal usage in Sweden’s public sector today. It is important that the public sector in particular utilizes the most efficient tools available. READ MORE
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3. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : Improving the energy efficiency of buildings is important for many reasons. There is a large body of data detailing the hourly energy consumption of buildings. This work studies a large data set from the Swedish energy market. READ MORE
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4. Analysis of Similarities Using Cluster Analysis : An Application of Political Views
University essay from Karlstads universitet/Fakulteten för humaniora och samhällsvetenskap (from 2013)Abstract : The objective of this paper is to study cluster analysis to identify similarities. To enhance the accuracy of the analysis, two clustering methodologies were employed. READ MORE
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5. Exploring Advanced Clustering Techniques for Business Descriptions : A Comparative Study and Analysis of DBSCAN, K-Means, and Hierarchical Clustering
University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)Abstract : In this study, we introduce several approaches to analyze large volumes of business descriptions by applying machine learning clustering and classification algorithms. The goal is to efficiently classify these descriptions, reducing the search scope and allowing for better business insights and decision-making processes. READ MORE