DataMining_project

team project: "Semi-supervised graph clustering: a kernel approach"

1. Introduction
2. Background and related work
   1. Graph clustering and kernel k-means
   2. Semi-supervised clustering
      1. HMRF model
      2. Spectral learning
3. Kernel-based semi-supervised clustering for HMRF-KMEANS
   1. Constructing the kernel
   2. The algorithm
4. Semi-supervised graph clustering
   1. Objective functions
   2. A kernel-based algorithm for semi-supervised graph clustering
   3. Connections to spectral learning
5. Experimental results
   1. Data sets
   2. Methodology
   3. Results and discussion
6. Conclusions and future work