Discover how precedent transaction analysis evaluates company value using past acquisition prices. Understand key factors, data sources, and its advantages and challenges.

Abstract: Principal Component Analysis (PCA) aims to acquire the principal component space containing the essential structure of data, instead of being used for mining and extracting the essential ...

The GC–MS dataset was integrated with the sensory data using a series of exploratory and predictive multivariate statistical ...

A seven-million-year-old skull found in Chad sits at the center of a long argument about human origins. The species, ...

Is the title correct? It says: 1 Principal Component explains [63.13%] of the variance. But it seems that this level is reached only after the 2nd Component is added. I may be misinterpreting the plot ...

Inside living cells, mitochondria divide, lysosomes travel, and synaptic vesicles pulse—all in three dimensions (3Ds) and constant motion. Capturing these events with clarity is vital not just for ...

1 School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, China 2 State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China ...

Principal component analysis (PCA) is one of the most common exploratory data analysis techniques with applications in outlier detection, dimensionality reduction, graphical clustering, and ...

ABSTRACT: This study applies Principal Component Analysis (PCA) to evaluate and understand academic performance among final-year Civil Engineering students at Mbeya University of Science and ...