Browsing by Subject "k-means"

Now showing items 1-4 of 4

    • Document Clustering for IDEAL 

      Thumma, Sujit Reddy; Kalidas, Rubasri; Torkey, Hanaa (2015-05-13)
      Document clustering is an unsupervised classification of text documents into groups (clusters). The documents with similar properties are grouped together into one cluster. Documents which have dissimilar patterns are ...

    • Human Pose and Action Recognition using Negative Space Analysis 

      Janse Van Vuuren, Michaella (University of Cape Town, 2004-12)
      This thesis proposes a novel approach to extracting pose information from image sequences. Current state of the art techniques focus exclusively on the image space occupied by the body for pose and action recognition. The ...

    • Summarizing Fire Events with Natural Language Processing 

      Plahn, Jordan; Zamani, Michael; Lee, Hayden; Trujillo, Michael (2014-12)
      Throughout this semester, we were driven by one question: how do we best summarize a fire with articles scraped from the internet? We took a variety of approaches to answer it, incrementally constructing a solution to ...

    • Wide Area Power System Monitoring Device Design and Data Analysis 

      Khan, Kevin Jamil Hiroshi (Virginia Tech, 2006-07-13)

      The frequency disturbance recorder (FDR) is a cost effective data acquisition device used to measure power system frequency at the distribution level. FDRs are time synchronized via the global positioning system (GPS) ...