Essays about: "agglomerative clustering"
Showing result 6 - 10 of 28 essays containing the words agglomerative clustering.
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6. EVALUATION OF CLUSTER STABILITY WITH PERMUTATION SUBGROUPS
University essay from Uppsala universitet/Statistiska institutionenAbstract : This paper suggests a new methodology; using permutation subgroups to evaluate the stability of clusters. This could be any subgroup and the clustering solution can come from any clustering technique. Mainly, this paper shows how the proposed methodology can be performed through an example of using the rotational cyclic group. READ MORE
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7. SARS-CoV-2 Lineage Clustering : Using Unsupervised Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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8. Evaluation of the performance of machine learning techniques for email classification
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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9. NLP-based Failure log Clustering to Enable Batch Log Processing in Industrial DevOps Setting
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : The rapid development, updating, and maintenance of industrial software systems have increased the necessity for software artifact testing. Some medium and large industries are forced to automate the test analysis process due to the proliferation of test data. READ MORE
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10. Cluster selection for Clustered Federated Learning using Min-wise Independent Permutations and Word Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Federated learning is a widely established modern machine learning methodology where training is done directly on the client device with local client data and the local training results are shared to compute a global model. Federated learning emerged as a result of data ownership and the privacy concerns of traditional machine learning methodologies where data is collected and trained at a central location. READ MORE
