Essays about: "clustering performance evaluation"
Showing result 1 - 5 of 46 essays containing the words clustering performance evaluation.
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1. Exploring Automated Early Problem Identification Based on Diagnostic Trouble Codes
University essay from Institutionen för tillämpad informationsteknologiAbstract : In the current automotive industry, problem identification is a reactive process. It starts when the customer experiences a vehicle problem and goes to the workshop. Subsequently, all the problem-related data will be collected from the workshop and forwarded to the vehicle manufacturer. READ MORE
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2. Understanding the Robustnessof Self Supervised Representations
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : This work investigates the robustness of learned representations of self-supervised learn-ing approaches, focusing on distribution shifts in computer vision. Joint embedding architecture and method-based self-supervised learning approaches have shown advancesin learning representations in a label-free manner and efficient knowledge transfer towardreducing human annotation needs. READ MORE
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3. Wind Turbine Recovery Forecasting using Survival Analysis
University essay from Lunds universitet/Matematisk statistikAbstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE
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4. Evaluating clustering techniques in financial time series
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : This degree project aims to investigate different evaluation strategies for clustering methodsused to cluster multivariate financial time series. Clustering is a type of data mining techniquewith the purpose of partitioning a data set based on similarity to data points in the same cluster,and dissimilarity to data points in other clusters. READ MORE
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5. Text Curation for Clustering of Free-text Survey Responses
University essay from Linköpings universitet/Institutionen för datavetenskapAbstract : When issuing surveys, having the option for free-text answer fields is only feasible where the number of respondents is small, as the work to summarize the answers becomes unmanageable with a large number of responses. Using NLP techniques to cluster these answers and summarize them would allow a greater range of survey creators to incorporate free-text answers in their survey, without making their workload too large. READ MORE
