<--- Back to Details
First PageDocument Content
Statistics / Data analysis / Hierarchical clustering / Network analysis / Cluster analysis / Data / Bioinformatics / Single-linkage clustering / Determining the number of clusters in a data set
Date: 2002-12-19 23:03:36
Statistics
Data analysis
Hierarchical clustering
Network analysis
Cluster analysis
Data
Bioinformatics
Single-linkage clustering
Determining the number of clusters in a data set

262 Genome Informatics 13: 262–A Novel Clustering Algorithm with Map Energy Minimization

Add to Reading List

Source URL: www.jsbi.org

Download Document from Source Website

File Size: 120,44 KB

Share Document on Facebook

Similar Documents

Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods  Lecture: 9 Clustering; Single Linkage; and Pairwise Distance Concentration Instructor: Sham Kakade

Stat 991: Multivariate Analysis, Dimensionality Reduction, and Spectral Methods Lecture: 9 Clustering; Single Linkage; and Pairwise Distance Concentration Instructor: Sham Kakade

DocID: 1uzEx - View Document

We present first massively parallel (MPC) algorithms and hardness of approximation results for computing Single-Linkage Clustering of n input d-dimensional vectors under Hamming, `1 , `2 and `1 distances. All our algorit

We present first massively parallel (MPC) algorithms and hardness of approximation results for computing Single-Linkage Clustering of n input d-dimensional vectors under Hamming, `1 , `2 and `1 distances. All our algorit

DocID: 1tRmH - View Document

262  Genome Informatics 13: 262–A Novel Clustering Algorithm with Map Energy Minimization

262 Genome Informatics 13: 262–A Novel Clustering Algorithm with Map Energy Minimization

DocID: 1r0cY - View Document

Genome Informatics 15(2): 151–A Method for Clustering Gene Expression Data Based on Graph Structure

Genome Informatics 15(2): 151–A Method for Clustering Gene Expression Data Based on Graph Structure

DocID: 1qgDc - View Document

CS264: Beyond Worst-Case Analysis Lecture #6: Clustering in Approximation-Stable Instances∗ Tim Roughgarden† October 10, 2014

CS264: Beyond Worst-Case Analysis Lecture #6: Clustering in Approximation-Stable Instances∗ Tim Roughgarden† October 10, 2014

DocID: 1q8qV - View Document