Advantages of Consensus Clustering
- Provides for a method to represent the consensus across multiple runs of a clustering algorithm, to determine the number of clusters in the data, and to assess the stability of the discovered clusters.
- The method can also be used to represent the consensus over multiple runs of a clustering algorithm with random restart (such as K-means, model-based Bayesian clustering, SOM, etc.), so as to account for * its sensitivity to the initial conditions.
- It also provides for a visualization tool to inspect cluster number, membership, and boundaries.
- We will be able to extract lot of features / attributes from multiples runs of different clustering algorithms on the data. These features can give us valuable information in doing a final consensus clustering.
Read more about this topic: Consensus Clustering
Famous quotes containing the words advantages of, advantages and/or consensus:
“Can you conceive what it is to native-born American women citizens, accustomed to the advantages of our schools, our churches and the mingling of our social life, to ask over and over again for so simple a thing as that “we, the people,” should mean women as well as men; that our Constitution should mean exactly what it says?”
—Mary F. Eastman, U.S. suffragist. As quoted in History of Woman Suffrage, vol. 4 ch. 5, by Susan B. Anthony and Ida Husted Harper (1902)
“[T]here is no Part of the World where Servants have those Privileges and Advantages as in England: They have no where else such plentiful Diet, large Wages, or indulgent Liberty: There is no place wherein they labour less, and yet where they are so little respectful, more wasteful, more negligent, or where they so frequently change their Masters.”
—Richard Steele (1672–1729)
“Nothing defines the quality of life in a community more clearly than people who regard themselves, or whom the consensus chooses to regard, as mentally unwell.”
—Renata Adler (b. 1938)