Generalized joint attribute modeling for biodiversity analysis: median‐zero, multivariate, multifarious data
نویسندگان
چکیده
منابع مشابه
Generalized Clustering Methods for Multivariate Data
Efficient analysis (including segmentation and classification) of multivariate data is an inherently complex task in which features occur as salient members of clusters in a multi-dimensional data space. The clusters assume a variety of distributions and frequently overlap, leading to difficulty in segmentation and classification. In many cases, similar but distinct features in the dataset are ...
متن کاملMultivariate Frailty Modeling in Joint Analyzing of Recurrent Events with Terminal Event and its Application in Medical Data
Background and Objectives: In many medical situations, people can experience recurrent events with a terminal event. If the terminal event is considered a censor in this type of data, the assumption of independence in the analysis of survival data may be violated. This study was conducted to investigate joint modeling of frequent events and a final event (death) in breast cancer patients using ...
متن کاملRadViz Deluxe: An Attribute-Aware Display for Multivariate Data "2279
Modern data, such as occurring in chemical engineering, typically entail large collections of samples with numerous dimensional components (or attributes). Visualizing the samples in relation of these components can bring valuable insight. For example, one may be able to see how a certain chemical property is expressed in the samples taken. This could reveal if there are clusters and outliers t...
متن کاملCVaR Optimization and Multivariate Joint Density Modeling
One attractive candidate as standard risk metric is Conditional Value at Risk (CVaR), which has a lot of advantages compared with Value at Risk (VaR). In this paper, I study CVaR as an objective function in a series of optimization problems. I compare the CPU time of the linear programming approach proposed in [14] with that of the fast gradient descent method [5] when increasing the number of ...
متن کاملHigh dimensional data analysis using multivariate generalized spatial quantiles
High dimensional data routinely arises in image analysis, genetic experiments, network analysis, and various other research areas. Many such datasets do not correspond to well-studied probability distributions, and in several applications the data-cloud prominently displays non-symmetric and non-convex shape features. We propose using spatial quantiles and their generalizations, in particular, ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ecological Monographs
سال: 2017
ISSN: 0012-9615,1557-7015
DOI: 10.1002/ecm.1241