# Data analysis using principal component analysis

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/data-analysis-using-principal-component-analysis/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Shruti Sehgal,Harpreet Singh,Mohit Agarwal,V. Bhasker,Shantanu Shantanu |
| Citations | 91 |
| DOI | 10.1109/medcom.2014.7005973 |
| Fields | Chemistry,Computer Science,Engineering |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W2541920683 |
| Type | conference-paper |
| Year | 2014 |

## Paper authors

- [Mohit Agarwal](https://scholariq.org/researchers/mohit-agarwal/)

## Paper primary topic

- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)

## Paper topics

- [Spectroscopy and Chemometric Analyses](https://scholariq.org/topics/spectroscopy-and-chemometric-analyses/)
- [Advanced Chemical Sensor Technologies](https://scholariq.org/topics/advanced-chemical-sensor-technologies/)
- [Blind Source Separation Techniques](https://scholariq.org/topics/blind-source-separation-techniques/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.