Adjusted mutual information

In probability theory and information theory, adjusted mutual information, a variation of mutual information may be used for comparing clusterings… (More)
Wikipedia

Topic mentions per year

Topic mentions per year

2009-2016
02420092016

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2016
2016
Adjusted for chance measures are widely used to compare partitions/clusterings of the same data set. In particular, the Adjusted… (More)
  • figure 1
  • table 1
  • table 2
  • figure 2
  • figure 3
Is this relevant?
2016
2016
Clustering by fast search and find of Density Peaks (referred to as DPC) was introduced by Alex Rodríguez and Alessandro Laio… (More)
  • figure 1
  • table 1
  • table 2
  • figure 2
  • figure 3
Is this relevant?
2016
2016
This paper introduces two novel algorithms for detecting groups of people standing or freely moving in a crowded environment. The… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Review
2016
Review
2016
Currently, approximately 30% of epileptic patients treated with antiepileptic drugs (AEDs) remain resistant to treatment (known… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 5
Is this relevant?
2012
2012
For highly imbalanced data sets, almost all the instances are labeled as one class, whereas far fewer examples are labeled as the… (More)
  • table I
  • table II
  • table III
  • table IV
Is this relevant?
2012
2012
In the recent past, various graph clustering algorithms have been proposed. Each algorithm has its own behaviour in terms of… (More)
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 6
Is this relevant?
2009
2009
Estimating the true number of clusters in a data set is one of the major challenges in cluster analysis. Yet in certain domains… (More)
  • table I
  • figure 1
  • figure 2
  • table II
  • table III
Is this relevant?