Sökning: "Silhouette index"

Visar resultat 1 - 5 av 13 uppsatser innehållade orden Silhouette index.

  1. 1. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset

    Magister-uppsats, Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionen

    Författare :Emilie Ståhle; Emilie Haubrich; [2023]
    Nyckelord :Human Rights Violation; Clustering; K-Means; Latent Class Analysis; Transition Matrix; Business and Economics;

    Sammanfattning : This master's thesis explores the use of unsupervised machine learning techniques to cluster countries based on their degree of human rights violations. Accordingly, the study evaluates the performance of two clustering methods, K-Means clustering and Latent Class Analysis (LCA), using two cluster validation metrics (Silhouette Coefficient and Dunn Index), as well as an Accuracy measure using the Human Rights index. LÄS MER

  3. 2. Analysis of Electricity Usage Time Series with K-means Clustering

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Elektricitetslära

    Författare :Göran Iliev; [2022]
    Nyckelord :electricty usage; office; residential; time series; clustering;

    Sammanfattning : As the amount of collected and analysed data for electricity usage from buildings is increasing it becomes an important component in energy efficiency efforts. A huge problem when developing algorithms fordetection of anomalous electricity usage series is the lack of data setswith annotated normal usage series for training and evaluation purposes. LÄS MER

  4. 3. Automatic Physical Cell Identity Planning using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

    Författare :Bala Naga Sai Venkata Bharath Manda; Manideep Yama; [2022]
    Nyckelord :Physical Cell Identity; 3GPP; Machine Learning; 5G; DBSCAN;

    Sammanfattning : Background: The growing needs of communications have a higher demand for data and stream-less services for the users. A unique physical cell identity (PCI) is assigned to transfer data between the cellular base station (gNB) and user equipment (UE). It is used to transmit the data to multiple users simultaneously. LÄS MER

  5. 4. Unsupervised topic modeling for customer support chat : Comparing LDA and K-means

    M1-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Fredrik Andersson; Alexander Idemark; [2021]
    Nyckelord :LDA; K-means; Topic modeling; Natural Language Processing; clustering; customer support; unsupervised machine learning;

    Sammanfattning : Fortnox takes in many errands via their support chat. Some of the questions can be hard to interpret, making it difficult to know where to delegate the question further. It would be beneficial if the process was automated to answer the questions instead of need to put in time to analyze the questions to be able to delegate them. LÄS MER

  7. 5. Clustering and Summarization of Chat Dialogues : To understand a company’s customer base

    Master-uppsats, Linköpings universitet/Artificiell intelligens och integrerade datorsystem

    Författare :Oskar Hidén; David Björelind; [2021]
    Nyckelord :Machine Learning; NLP; Text Representations; Clustering; Extractive summarization; TFIDF; S-BERT; FastText; K-means; DBSCAN; HDBSCAN; LSA; TextRank; Word Mover s Distance WMD ;

    Sammanfattning : The Customer Success department at Visma handles about 200 000 customer chats each year, the chat dialogues are stored and contain both questions and answers. In order to get an idea of what customers ask about, the Customer Success department has to read a random sample of the chat dialogues manually. LÄS MER