Intragroup behavioral variation in white-fronted capuchin monkeys (Cebus albifrons): mixed evidence for social learning inferred from new and established analytical methods

Behaviour ◽  
2009 ◽  
Vol 146 (3) ◽  
pp. 295-324 ◽  
Author(s):  
Luke Matthews

AbstractThe study of socially learned traditions in field settings has been complicated by the need to rule out alternative hypothesized causes of behavioral variation, including underlying genetic variation, and asocial reinforcement learning that shapes behavior in response to microecological variations. Intragroup associations of spatial proximity and behavioral similarity support the tradition hypothesis when the associations are predicted specifically by social learning and not by alternative hypotheses. This paper attempts to test for socially learned traditions by combining variations in multiple foraging techniques into pairwise behavioral similarity matrices. This method thereby avoids loss of power from conducting multiple statistical tests. These matrices are then compared through correlation and cluster analysis to a proximity association matrix. Cluster analysis enables very specific predictions to be made from the social learning hypothesis, predictions that are not particularly likely under alternative hypotheses that do not invoke social learning or traditions. The results are mixed, with binary behavioral variations being consistent with a traditional influence of social learning, and with variations in the frequency of technique use being inconsistent with traditions.

Author(s):  
Jiaxiong Pi ◽  
Yong Shi ◽  
Zhengxin Chen

Image content analysis plays an important role for adaptive multimedia retrieval. In this chapter, the authors present their work on using a useful spatial data structure, R*-tree, for similarity analysis and cluster analysis of image contents. First, they describe an R*-tree based similarity analysis tool for similarity retrieval of images. They then move on to discuss R*-tree based clustering methods for images, which has been a tricky issue: although objects stored in the same R* tree leaf node enjoys spatial proximity, it is well-known that R* trees cannot be used directly for cluster analysis. Nevertheless, R* tree’s indexing feature can be used to assist existing cluster analysis methods, thus enhancing their performance of cluster quality. In this chapter, the authors report their progress of using R* trees to improve well-known K-means and hierarchical clustering methods. Based on R*-Tree’s feature of indexing Minimum Bounding Box (MBB) according to spatial proximity, the authors extend R*-Tree’s application to cluster analysis containing image data. Two improved algorithms, KMeans-R and Hierarchy-R, are proposed. Experiments have shown that KMeans-R and Hierarchy-R have achieved better clustering quality.


1985 ◽  
Vol 3 (2) ◽  
pp. 153-170 ◽  
Author(s):  
Paul Bratley ◽  
Paul A. Fortier

A number of statistical experiments analyze data on the frequency and distribution of words evoking twenty-two different themes in Gide's novel l'Immoraliste. The statistical tests are simple and standard; they can be applied using widely-available program packages. The results are evaluated in terms of traditional literary analysis of the novel. Correlations of the distributions of the themes could not be interpreted easily when presented in table form. However, multidimensional scaling and cluster analysis of the correlations not only produced results parallel to the literary analysis but suggested how it could be refined. Regression analysis did not generate conclusive results. The methods used are evaluated and suggestions for future explorations are made.


2020 ◽  
Vol 16 (7) ◽  
pp. 1223-1245
Author(s):  
V.V. Smirnov

Subject. The article focuses on the modern financial system of Russia. Objectives. I determine the limit of the contemporary financial system in Russia. Methods. The study is based on methods of descriptive statistics, statistical and cluster analysis. Results. The article shows the possibility of determining the scope of the contemporary financial system in Russia by establishing monetary relations as the order of the internal system and concerted operation of subsystems, preserving the structure of the financial system, maintaining the operational regime, implementing the program and achieving the goal. I found that the Russian financial system correlated with the Angolan one, and the real scope of the contemporary financial system in Russia. Conclusions and Relevance. As an attempt to effectively establish monetary relations and manage them, the limit of the contemporary financial system is related to the possibility of using Monetary Aggregate M0 to maintain the balance of the Central Bank of Russia. To overcome the scope of Russia’s financial system, the economy should have changed its specialization, refocusing it on high-tech export and increasing the foreign currency reserves. This can be done if amendments to Russia’s Constitution are adopted. The findings expand the scope of knowledge and create new competence in the establishment of monetary relations, order of the internal system and concerted interaction of subsystems, structural preservation of the financial system and maintenance of its operational regime.


Green Farming ◽  
2020 ◽  
Vol 11 (4-5) ◽  
pp. 299
Author(s):  
SURESH ◽  
OM PARKASH BISHNOI ◽  
RENU MUNJAL ◽  
RISHI KUMAR BEHL

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