Essays about: "weighted clustering"
Showing result 1 - 5 of 22 essays containing the words weighted clustering.
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1. Constructing and analyzing a gene-gene interaction network to identify driver modules in lung cancer using a clustering method
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Cancer is a complex disease with diverse genetic changes that pose significant treatment challenges due to its heterogeneity. Identifying driver modules, which are crucial for cancer progression, has been aided by artificial intelligence (AI) techniques. However, existing approaches lack specificity, particularly for cancer types like lung cancer. READ MORE
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2. Impact of the autoencoder-based FINTA tractogram filtering method on brain networks in subjects with Mild Cognitive Impairment
University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Abstract : Diffusion Magnetic Resonance Imaging (dMRI) is a method for measuring molecular diffusion in biological tissue microstructure. This information can be used to predict the location and orientation of white matter fibers in the brain, a process known as tractography. READ MORE
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3. Descriptive Labeling of Document Clusters
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Labeling is the process of giving a set of data a descriptive name. This thesis dealt with documents with no additional information and aimed at clustering them using topic modeling and labeling them using Wikipedia as a second source. Labeling documents is a new field with many potential solutions. READ MORE
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4. Understanding Traffic Cruising Causation : Via Parking Data Enhancement
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Some computer scientists have recently pointed out that it may be more effective for the computer science community to focus more on data preparation for performance improvements, rather than exclusively comparing modeling techniques. READ MORE
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5. Evaluating VaR and ES for commodities - both conventionally and with neural networks
University essay from Lunds universitet/Nationalekonomiska institutionenAbstract : As commodities are becoming more popular and accessible assets for speculative and hedging purposes, the limited research regarding risk management for said asset-class justifies further contribution to the deficient output. Many previous studies have highlighted the extraordinary high volatility, with non-linear and clustering characteristics associated with commodities. READ MORE