Essays about: "KMeans"
Showing result 1 - 5 of 14 essays containing the word KMeans.
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1. Domain Knowledge and Representation Learning for Centroid Initialization in Text Clustering with k-Means : An exploratory study
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Text clustering is a problem where texts are partitioned into homogeneous clusters, such as partitioning them based on their sentiment value. Two techniques to address the problem are representation learning, in particular language representation models, and clustering algorithms. READ MORE
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2. Evaluation of Machine Learning techniques for Master Data Management
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : In organisations, duplicate customer master data present a recurring problem. Duplicate records can result in errors, complication, and inefficiency since they frequently result from dissimilar systems or inadequate data integration. READ MORE
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3. Advancing Keyword Clustering Techniques: A Comparative Exploration of Supervised and Unsupervised Methods : Investigating the Effectiveness and Performance of Supervised and Unsupervised Methods with Sentence Embeddings
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Clustering keywords is an important Natural Language Processing task that can be adopted by several businesses since it helps to organize and group related keywords together. By clustering keywords, businesses can better understand the topics their customers are interested in. READ MORE
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4. A Case Study: Optimising PAP ambulance location with data and travel time analysis
University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)Abstract : The mental health concerns in Sweden have been increasing since the beginning of the 2000’s, where Skåne County in the southern parts of Sweden has shown to be slightly higher in a proportion of reported cases in comparison to other regions. To address the growing need for psychiatric healthcare, the health services of the region of Skåne (Region Skåne) have introduced a psychiatric ambulance unit as a part of first responders. READ MORE
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5. Comparison of initialization methods of K-means clustering for small data
University essay from Uppsala universitet/Statistiska institutionenAbstract : Clustering of observations into groups arises as a fundamental challenge both in academia and industry. Many clustering algorithms exist, and the most widely used clustering algorithm, the K-means, notably suffers from sensitivity to initial allocation of cluster centers. READ MORE