A Survey Of Hierarchical Clustering Algorithms
نویسندگان
چکیده
منابع مشابه
Clustering Rules: A Comparison of Partitioning and Hierarchical Clustering Algorithms
Previous research has resulted in a number of different algorithms for rule discovery. Two approaches discussed here, the ‘all-rules’ algorithm and multiobjective metaheuristics, both result in the production of a large number of partial classification rules, or ‘nuggets’, for describing different subsets of the records in the class of interest. This paper describes the application of a number ...
متن کاملModern hierarchical, agglomerative clustering algorithms
This paper presents algorithms for hierarchical, agglomerative clustering which perform most efficiently in the general-purpose setup that is given in modern standard software. Requirements are: (1) the input data is given by pairwise dissimilarities between data points, but extensions to vector data are also discussed (2) the output is a “stepwise dendrogram”, a data structure which is shared ...
متن کاملParallel Algorithms for Hierarchical Clustering
Hierarchical clustering is a common method used to determine clusters of similar data points in multidimensional spaces. O(n*) algorithms are known for this problem [3,4,11,19]. This paper reviews important results for sequential algorithms and describes previous work on parallel algorithms for hierarchical clustering. Parallel algorithms to perform hierarchical clustering using several distanc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Mathematics and Computer Science
سال: 2012
ISSN: 2008-949X
DOI: 10.22436/jmcs.05.03.11