Search results for "reduction"
showing 10 items of 2058 documents
Parameter Rating by Diffusion Gradient
2014
Anomaly detection is a central task in high-dimensional data analysis. It can be performed by using dimensionality reduction methods to obtain a low-dimensional representation of the data, which reveals the geometry and the patterns that exist and govern it. Usually, anomaly detection methods classify high-dimensional vectors that represent data points as either normal or abnormal. Revealing the parameters (i.e., features) that cause detected abnormal behaviors is critical in many applications. However, this problem is not addressed by recent anomaly-detection methods and, specifically, by nonparametric methods, which are based on feature-free analysis of the data. In this chapter, we provi…
Dimensionality Reduction Techniques: An Operational Comparison On Multispectral Satellite Images Using Unsupervised Clustering
2006
Multispectral satellite imagery provides us with useful but redundant datasets. Using Dimensionality Reduction (DR) algorithms, these datasets can be made easier to explore and to use. We present in this study an objective comparison of five DR methods, by evaluating their capacity to provide a usable input to the K-means clustering algorithm. We also suggest a method to automatically find a suitable number of classes K, using objective "cluster validity indexes" over a range of values for K. Ten Landsat images have been processed, yielding a classification rate in the 70-80% range. Our results also show that classical linear methods, though slightly outperformed by more recent nonlinear al…
The Belle II Pixel Detector Data Acquisition and Background Suppression System
2017
The Belle II experiment at the future SuperKEKB collider in Tsukuba, Japan, features a design luminosity of 8 1035 cm−2s−1, which is a factor of 40 larger than that of its predecessor Belle. The pixel detector (PXD) with about 8 million pixels is based on the DEPFET technology and will improve the vertex resolution in beam direction by a factor of 2. With an estimated trigger rate of 30 kHz, the PXD is expected to generate a data rate of 20 GBytes/s, which is about 10 times larger than the amount of data generated by all other Belle II subdetectors. Due to the large beam-related background, the PXD requires a data acquisition system with high-bandwidth data links and realtime background red…
Polar Classification of Nominal Data
2013
Many modern systems record various types of parameter values. Numerical values are relatively convenient for data analysis tools because there are many methods to measure distances and similarities between them. The application of dimensionality reduction techniques for data sets with such values is also a well known practice. Nominal (i.e., categorical) values, on the other hand, encompass some problems for current methods. Most of all, there is no meaningful distance between possible nominal values, which are either equal or unequal to each other. Since many dimensionality reduction methods rely on preserving some form of similarity or distance measure, their application to such data sets…
Local dimensionality reduction and supervised learning within natural clusters for biomedical data analysis
2006
Inductive learning systems were successfully applied in a number of medical domains. Nevertheless, the effective use of these systems often requires data preprocessing before applying a learning algorithm. This is especially important for multidimensional heterogeneous data presented by a large number of features of different types. Dimensionality reduction (DR) is one commonly applied approach. The goal of this paper is to study the impact of natural clustering--clustering according to expert domain knowledge--on DR for supervised learning (SL) in the area of antibiotic resistance. We compare several data-mining strategies that apply DR by means of feature extraction or feature selection w…
Nursing interventions of choice for the prevention and treatment of suicidal behaviour: The umbrella review protocol
2022
Abstract Aim To determine which interventions, from a nursing perspective, can be considered as the interventions of choice for the prevention and treatment of suicidal behaviour. In this way, the umbrella review attempts to identify nursing interventions from the Nursing Interventions Classification (NIC) taxonomy with evidence for this purpose. Design Descriptive study protocol. Methods This umbrella review will consist of an extensive, systematic search of published systematic reviews and meta‐analyses of studies examining interventions of choice for the prevention and treatment of suicidal behaviour. A systematic search of papers indexed in PubMed, CINAHL, Cochrane Database of Systemati…
Optical calibration of a multispectral imaging system based on interference filters
2005
We present a new approach to optically calibrate a multispectral imaging system based on interference filters. Such a system typically suffers from some blurring of its channel images. Because the effectiveness of spectrum reconstruction depends heavily on the quality of the acquired channel images, and because this blurring negatively affects them, a method for deblurring and denoising them is required. The blur is modeled as a uniform intensity distribution within a circular disk. It allows us to characterize, quantitatively, the degradation for each channel image. In terms of global reduction of the blur, it consists of the choice of the best channel for the focus adjustment according to…
Feature extraction for classification in knowledge discovery systems
2003
Dimensionality reduction is a very important step in the data mining process. In this paper, we consider feature extraction for classification tasks as a technique to overcome problems occurring because of "the curse of dimensionality". We consider three different eigenvector-based feature extraction approaches for classification. The summary of obtained results concerning the accuracy of classification schemes is presented and the issue of search for the most appropriate feature extraction method for a given data set is considered. A decision support system to aid in the integration of the feature extraction and classification processes is proposed. The goals and requirements set for the d…
Disaster vulnerability by demographics?
2020
This article provides a brief overview of the relationship between disaster vulnerability and demographic variables. Population numbers and densities are examined along with using a gender focus as illustrative of individual characteristics. For the most part, people’s and society’s choices create vulnerabilities based on demographics rather than specific demographic characteristics inevitably conferring vulnerability.
Sonographische Verlaufskontrolle nach experimenteller Muskeldenervierung
2008
AIM: To describe sonographical results following acute, experimental muscle denervation. METHOD: Denervation of the supraspinatus and infraspinatus muscles was performed in 28 New Zealand white rabbits by segmental resection of the suprascapular nerve. The changes in the sonographic image of the muscles were follow up and documented at short intervals over 2 months. RESULTS: The sonographically detectable changes following denervation follow a definite pattern. In addition to the reduction in muscle diameter, sonographical signs of denervation include an increase of echodensity and an inhomogeneity of echotexture that appeared on day 14 after injury and became more prominent at larger inter…