Essays about: "agglomerative hierarchical clustering"

Showing result 1 - 5 of 19 essays containing the words agglomerative hierarchical clustering.

1. 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 informationsteknologi

   Author : Katarina Rivera Ahlin; [2023]
   Keywords : ;

   Abstract : 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

3. 2. Finding Anomalous Energy ConsumersUsing Time Series Clustering in the Swedish Energy Market

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Lukas Tonneman; [2023]
   Keywords : time-series analysis; clustering; electricity consumer clustering; anomaly detection; gaussian mixture model; hierarchical clustering;

   Abstract : 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

4. 3. 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-)

   Author : Wisam Orabi Alkhen; [2023]
   Keywords : Machine learning; Business descriptions; Search scope reduction; Relevant business terminology; Data analysis.;

   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

5. 4. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Amanda Hedlund; Fonzie Forsman; [2022]
   Keywords : ;

   Abstract : The methods of sequencing genetic information and the access to this information has proved to be very useful in the research and understanding of viruses. It can for example be used to develop vaccines, manage pandemics, and attempt to map the virus’ spread and development. READ MORE

6. 5. Evaluation of the performance of machine learning techniques for email classification

   University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Author : Isabella Tapper; [2022]
   Keywords : Natural Language Processing; Text Representations; Email Classification; Text Classification; Behandling Av Naturliga Språk; Text Representation; epost-klassificering; Textklassificering;

   Abstract : Manual categorization of a mail inbox can often become time-consuming. Therefore many attempts have been made to use machine learning for this task. One essential Natural Language Processing (NLP) task is text classification, which is a big challenge since an NLP engine is not a native speaker of any human language. READ MORE