Search Results - subject:"clustering"

Integrated Clustering Regression for Real Estate Valuation

Alenany, Emad; Lekham, Laith Abu; Lu, Susan - 2021

This paper presents an integrated clustering and regression approach for real estate valuation.The location of a … of the proprieties in the dataset under study withrelative unit price, it is motivated to apply the clustering method to …

Persistent link: https://www.econbiz.de/10014361789

Identifying insurance companies' business models in Ukraine : cluster analysis and machine learning

Tarnavskyi, Oleksandr; Kolomiiets, Viktor - In: Visnyk Nacionalʹnoho Banku Ukrai͏̈ny (2021) 252, pp. 37-55

Persistent link: https://www.econbiz.de/10014388655

On The Radon--Nikodym Spectral Approach With Optimal Clustering

Malyshkin, Vladislav - 2021

Problems of interpolation, classification, and clustering are considered. In the tenets of Radon--Nikodym approach ⟨f … also applied to the optimal clustering problem. The problem is solved by constructing a Gaussian quadrature on the Lebesgue … algorithms of interpolation, classification, and optimal clustering is available from the authors …

Persistent link: https://www.econbiz.de/10013245998

Classification of Some {0,1}-Semigraphs

Günaltılı, İbrahim - 2021

An adjacent graph is a connected bipartite {0,1}-semi-graph which contains exactly one part in which any two vertices have exactly one common neighbor. Mulder [1] observed that; (0, λ) -semi-graphs are regular. Furthermore a lower bound for the degree of (0,n)-semi graphs with diameter at least...

Persistent link: https://www.econbiz.de/10013230868

Industrial Clusters, Networks and Resilience to the Covid-19 Shock in China

Dai, Ruochen; Mookherjee, Dilip; Quan, Yingyue; Zhang, … - 2021

We examine how exposure of Chinese firms to the Covid-19 shock varied with a cluster index (measuring spatial agglomeration of firms in related industries) at the county level. Two data sources are used: entry flows of newly registered firms in the entire country, and an entrepreneur survey...

Persistent link: https://www.econbiz.de/10013232021

On Review of the Cluster Point of a Set in a Topological Space

Emmanuel, Eziokwu C. - 2021

If X be a topological space and A subspace of X, then a point x E X is said to be a cluster point of A if every open ball centered at x contains at least one point of A different from X. In the preliminary sections, review of the interior of the set X was discussed before the major work of...

Persistent link: https://www.econbiz.de/10013233587

Clustering Structure of Microstructure Measures

Zhu, Liao; Sun, Ningning; Wells, Martin T. - 2021

This paper builds the clustering model of measures of market microstructure features which are popular in predicting … the stock returns. In a 10-second time frequency, we study the clustering structure of different measures to find out the …

Persistent link: https://www.econbiz.de/10013217897

Life-course trajectories of childless women : country-specific or universal?

Tocchioni, Valentina; Rybinska, Anna; Mynarska, Monika; … - 2021

Persistent link: https://www.econbiz.de/10012418431

Clustering Market Regimes Using the Wasserstein Distance

Horvath, Blanka; Issa, Zach; Muguruza, Aitor - 2021

mathematicians and practitioners alike. In this paper, we outline an unsupervised learning algorithm for clustering financial time … more traditional clustering algorithms by studying the so-called maximum mean discrepancy scores between, and within …

Persistent link: https://www.econbiz.de/10013323393

Quant Investing in Cluster Portfolios

Akansu, Ali; Avellaneda, Marco; Xiong, Anqi - 2021

This paper discusses portfolio construction for investing in N given assets, e.g. constituents of the Dow Jones Industrial Average (DJIA) or large cap stocks, which is based on partitioning the investment universe into clusters. The clusters are determined from the trailing correlation matrix...

Persistent link: https://www.econbiz.de/10013245811