Exact algorithms for size constrained clustering / / Jianyi Lin .
Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis a...
Saved in:
| Superior document: | Mathematical Sciences |
|---|---|
| VerfasserIn: | |
| Place / Publishing House: | Milan : : Libreria Ledi Srl,, 2013 |
| Year of Publication: | 2013 |
| Language: | English |
| Series: | Mathematical Sciences
|
| Notes: | Bibliographic Level Mode of Issuance: Monograph |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Clustering or cluster analysis [5] is a method in unsupervised learning and one of the most used techniques in statistical data analysis. Clustering has a wide range of applications in many areas like pattern recognition, medical diagnostics, datamining, biology, market research and image analysis among others. A cluster is a set of data points that in some sense are similar to each other, and clustering is a process of partitioning a data set into disjoint clusters. In distance clustering, the similarity among data points is obtained by means of a distance function. |
|---|---|
| Bibliography: | Includes bibliographical references. |
| Hierarchical level: | Monograph |
| Statement of Responsibility: | Jianyi Lin . |