Lerman, Israël César
Foundations and Methods in Combinatorial and Statistical Data Analysis and Clustering
1. On Some Facets of the Partition Set of a Finite Set
Israël César Lerman
2. Two Methods of Non-hierarchical Clustering
Israël César Lerman
3. Structure and Mathematical Representation of Data
Israël César Lerman
4. Ordinal and Metrical Analysis of the
Israël César Lerman
5. Comparing Attributes by
Israël César Lerman
6. Comparing Attributes by a
Israël César Lerman
7. Comparing Objects or Categories Described by Attributes
Israël César Lerman
8. The Notion of “Natural” Class, Tools for Its Interpretation. The Classifiability Concept
Israël César Lerman
9. Quality Measures in Clustering
Israël César Lerman
10. Building a Classification Tree
Israël César Lerman
11. Applying the
Israël César Lerman
12. Conclusion and Thoughts for Future Works
Israël César Lerman
Nyckelord: Computer Science, Data Mining and Knowledge Discovery, Statistics and Computing/Statistics Programs, Combinatorics
- Författare
- Lerman, Israël César
- Utgivare
- Springer
- Utgivningsår
- 2016
- Språk
- en
- Utgåva
- 1st ed. 2016
- Serie
- Advanced Information and Knowledge Processing
- Sidantal
- 24 sidor
- Kategori
- Datateknik, Datakommunikation
- Format
- E-bok
- eISBN (PDF)
- 9781447167938
- Tryckt ISBN
- 978-1-4471-6791-4