1414 search results - page 174 / 283 » Relational peculiarity-oriented mining |
KDD
2006
ACM
14 years 9 months ago
2006
ACM
K-means is a widely used partitional clustering method. While there are considerable research efforts to characterize the key features of K-means clustering, further investigation...
KDD
2005
ACM
14 years 9 months ago
2005
ACM
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
KDD
2004
ACM
14 years 9 months ago
2004
ACM
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
KDD
2003
ACM
14 years 9 months ago
2003
ACM
We are interested in finding natural communities in largescale linked networks. Our ultimate goal is to track changes over time in such communities. For such temporal tracking, we...
KDD
2002
ACM
14 years 9 months ago
2002
ACM
The problem of measuring "similarity" of objects arises in many applications, and many domain-specific measures have been developed, e.g., matching text across documents...