Martin C, Nattkemper TW. A Tree Index to Support Clustering Based Exploratory Data Analysis. In: Bioinformatics Research and Development : Second International Conference, BIRD 2008 Vienna, Austria, July 7-9, 2008 Proceedings. Communications in Computer and Information Science. Vol 13. Berlin, Heidelberg: Springer; 2008: 1-15
This thesis explores and evaluates MAXCCLUS, a bioinformatics clustering algorithm, which was design...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...
Clustering techniques are increasingly being put to use in the analysis of high-throughput biologica...
Clustering techniques are widely used in the analysis of large datasets to group together samples wi...
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
ClutrFree has for primary function to display clusters (the output of any clustering algorithm) comp...
Description algorithm for determining cluster count and membership by stability evidence in unsuper-...
Clustering is a long-standing problem in computer science and is applied in virtually any scientific...
A new index for clustering tendency is described. The index is based on the frequency distribution o...
This thesis studies exploratory cluster analysis of genomic high-throughput data sets and their inte...
Contains fulltext : 75597.pdf (preprint version ) (Open Access)Pattern Recognition...
Clustering of data is a well-researched topic in computer sciences. Many approaches have been design...
Abstract. Motivation: Many clustering algorithms have been proposed for the analysis of gene expr...
Applications of clustering algorithms in biomedical research are ubiquitous, with typical examples i...
This thesis explores and evaluates MAXCCLUS, a bioinformatics clustering algorithm, which was design...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...
Clustering techniques are increasingly being put to use in the analysis of high-throughput biologica...
Clustering techniques are widely used in the analysis of large datasets to group together samples wi...
Clustering is one of the most useful tasks in data mining process for discovering groups and identif...
ClutrFree has for primary function to display clusters (the output of any clustering algorithm) comp...
Description algorithm for determining cluster count and membership by stability evidence in unsuper-...
Clustering is a long-standing problem in computer science and is applied in virtually any scientific...
A new index for clustering tendency is described. The index is based on the frequency distribution o...
This thesis studies exploratory cluster analysis of genomic high-throughput data sets and their inte...
Contains fulltext : 75597.pdf (preprint version ) (Open Access)Pattern Recognition...
Clustering of data is a well-researched topic in computer sciences. Many approaches have been design...
Abstract. Motivation: Many clustering algorithms have been proposed for the analysis of gene expr...
Applications of clustering algorithms in biomedical research are ubiquitous, with typical examples i...
This thesis explores and evaluates MAXCCLUS, a bioinformatics clustering algorithm, which was design...
Clustering is the task of organizing a set of objects into meaningful groups. These groups can be di...
This book explains and illustrates the most frequently used methods of hierarchical cluster analysis...