Browsing by Subject "Clustering"

Now showing items 1-4 of 4

    • Consistent Mode-Finding for Parametric and Non-Parametric Clustering 

      Tobin, Joshua (Trinity College Dublin. School of Computer Science & Statistics. Discipline of Statistics, 2022)
      Density peaks clustering detects modes as points with high density and large distance to points of higher density. To cluster the observed samples, points are assigned to the same cluster as their nearest neighbor of higher ...

    • DCF: An Efficient and Robust Density-Based Clustering Method 

      Zhang, Mimi (2021)
      Density-based clustering methods have been shown to achieve promising results in modern data mining applications. A recent approach, Density Peaks Clustering (DPC), detects modes as points with high density and large ...

    • DeCoRIC: Decentralized Connected Resilient IoT Clustering 

      Shanker, Shreejith (2020)
      Maintaining peer-to-peer connectivity with low energy overhead is a key requirement for several emerging Internet of Things (IoT) applications. It is also desirable to develop such connectivity solutions for non-static ...

    • Finding community structures in networks by playing pass-the-parcel. 

      HOUGHTON, CONOR JAMES (2008)
      Many data sets can be represented by undirected networks. Often, an interesting and important feature of these networks is the existence of communities; groups of nodes whose interconnectivity is higher than the average ...