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Mendeley readers
Chapter title |
Two Entropy-Based Methods for Learning Unsupervised Gaussian Mixture Models
|
---|---|
Chapter number | 71 |
Book title |
Structural, Syntactic, and Statistical Pattern Recognition
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Published by |
Springer, Berlin, Heidelberg, August 2006
|
DOI | 10.1007/11815921_71 |
Book ISBNs |
978-3-54-037236-3, 978-3-54-037241-7
|
Authors |
Antonio Peñalver, Francisco Escolano, Juan M. Sáez |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 40% |
Professor | 1 | 20% |
Student > Ph. D. Student | 1 | 20% |
Student > Master | 1 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 60% |
Business, Management and Accounting | 1 | 20% |
Economics, Econometrics and Finance | 1 | 20% |