Essays about: "Silhouette index"
Showing result 1 - 5 of 13 essays containing the words Silhouette index.
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1. Human Rights Violations and Machine Learning - Cluster Analysis of Countries using the CIRIGHTS Dataset
University essay from Lunds universitet/Statistiska institutionen; Lunds universitet/Nationalekonomiska institutionenAbstract : 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. READ MORE
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2. Analysis of Electricity Usage Time Series with K-means Clustering
University essay from Uppsala universitet/ElektricitetsläraAbstract : 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. READ MORE
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3. Automatic Physical Cell Identity Planning using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE
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4. Unsupervised topic modeling for customer support chat : Comparing LDA and K-means
University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)Abstract : 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. READ MORE
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5. Clustering and Summarization of Chat Dialogues : To understand a company’s customer base
University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystemAbstract : 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. READ MORE