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Speech, Intelligibility of. --- Oral communication. --- Cluster analysis.

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Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book provides practical guide to cluster analysis, elegant visualization and interpretation. It contains 5 parts. Part I provides a quick introduction to R and presents required R packages, as well as, data formats and dissimilarity measures for cluster analysis and visualization. Part II covers partitioning clustering methods, which subdivide the data sets into a set of k groups, where k is the number of groups pre-specified by the analyst. Partitioning clustering approaches include: K-means, K-Medoids (PAM) and CLARA algorithms. In Part III, we consider hierarchical clustering method, which is an alternative approach to partitioning clustering. The result of hierarchical clustering is a tree-based representation of the objects called dendrogram. In this part, we describe how to compute, visualize, interpret and compare dendrograms. Part IV describes clustering validation and evaluation strategies, which consists of measuring the goodness of clustering results. Among the chapters covered here, there are: Assessing clustering tendency, Determining the optimal number of clusters, Cluster validation statistics, Choosing the best clustering algorithms and Computing p-value for hierarchical clustering. Part V presents advanced clustering methods, including: Hierarchical k-means clustering, Fuzzy clustering, Model-based clustering and Density-based clustering.

Cluster analysis --- R (Computer program language). --- Computer programs.

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Dr Ruby Mendenhall presents her research into how the stress of living in violent, segregated neighborhoods affects black mothers. Her study found a clear connection between PTSD and/or depression and feeling trapped in these neighborhoods.

African American mothers --- Post-traumatic stress disorder --- Depressed persons --- Cluster analysis --- Regression analysis --- Research --- Mental health --- Research. --- Statistical methods

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,This book is about one of the most important questions under investigation both in Hungary and throughout Europe, namely, how and under what effects is traditional popular culture territorially distributed. This work uses new methods and new sources; it is based on the digital elaboration of the biggest and most comprehensive data set of Hungarian ethnological research, the 634 maps of the Atlas of Hungarian Folk Culture. Borsos's interdisciplinary elaboration creates a synthesis in ethnocartography with the help of mathematical, statistical methods and computerised cluster analysis, and thus assures an important leap in the science of ethnography.' Committee of Ethnology, Hungarian Academy of Sciences ,This work is a compendium, in the classical sense of the word, justifying, clarifying or eventually refuting our former knowledge obtained on the extremely rich distribution pattern of land and culture which characterises the Hungarian people. A comprehensive outlook, giving help to find our way in the complicated spatial labyrinth of cultural organisation.' Balázs Balogh, Director, HAS RCH Institute of Ethnology

Hungarian folk culture --- Atlas of Hungarian Folk Culture --- traditional popular culture --- territorial distribution --- Hungary --- ethnocarthography --- ethnography --- cluster analysis --- ethnographic atlas --- folk culture --- regional structure --- Hungarian language area --- cultural regions --- dialect --- dialectic distribution --- settlement and building --- cottage industry and handicrafts --- everyday life --- Deutsche und osteuropäische Volkskunde --- Alltagskultur --- transport --- traffic and trade --- society --- kinship --- and life cycle events

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This study quantifies the importance of a Global Financial Cycle (GFCy) for capital flows. We use capital flow data dis-aggregated by direction and type between 1990Q1 and 2015Q5 for 85 countries, and conventional techniques, models and metrics. Since the GFCy is an unobservable concept, we use two methods to represent it: directly observable variables in center economies often linked to it, such as the VIX; and indirect manifestations, proxied by common dynamic factors extracted from actual capital flows. Our evidence seems mostly inconsistent with a significant and conspicuous GFCy; both methods combined rarely explain more than a quarter of the variation in capital flows. Succinctly, most variation in capital flows does not seem to be the result of common shocks nor stem from observables in a central country like the United States.

International finance. --- International monetary system --- International money --- Finance --- International economic relations --- Econometrics --- Exports and Imports --- Finance: General --- Macroeconomics --- Current Account Adjustment --- Short-term Capital Movements --- Financial Aspects of Economic Integration --- Globalization: Finance --- International Financial Markets --- International Investment --- Long-term Capital Movements --- Classification Methods --- Cluster Analysis --- Principal Components --- Factor Models --- General Financial Markets: General (includes Measurement and Data) --- Business Fluctuations --- Cycles --- International economics --- Econometrics & economic statistics --- Capital flows --- Factor models --- Emerging and frontier financial markets --- Foreign direct investment --- Financial cycles --- Balance of payments --- Econometric analysis --- Financial markets --- Financial sector policy and analysis --- Capital movements --- Econometric models --- Financial services industry --- Investments, Foreign --- Business cycles --- United States