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Determining Urban Emotion using an Unsupervised Learning Approach: A Case Study around Majitar, East District, Sikkim

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IJCA Proceedings on International Conference on Computing and Communication
© 2016 by IJCA Journal
ICCC 2016 - Number 1
Year of Publication: 2016
Authors:
Supriya Choudhury
Mohan P. Pradhan
Pratikshya Sharma
S. K. Kar

Supriya Choudhury, Mohan P Pradhan, Pratikshya Sharma and S K Kar. Article: Determining Urban Emotion using an Unsupervised Learning Approach: A Case Study around Majitar, East District, Sikkim. IJCA Proceedings on International Conference on Computing and Communication ICCC 2016(1):6-13, September 2016. Full text available. BibTeX

@article{key:article,
	author = {Supriya Choudhury and Mohan P. Pradhan and Pratikshya Sharma and S. K. Kar},
	title = {Article: Determining Urban Emotion using an Unsupervised Learning Approach: A Case Study around Majitar, East District, Sikkim},
	journal = {IJCA Proceedings on International Conference on Computing and Communication},
	year = {2016},
	volume = {ICCC 2016},
	number = {1},
	pages = {6-13},
	month = {September},
	note = {Full text available}
}

Abstract

Perception and expectation of citizens is an important factor in urban settlement, planning and management. Hence, there is a need of a participatory citizen centric planning of urban settlement based on spatial data. These perception and expectation may be represented in terms of emotions. Determining Urban Emotions is an approach which can be used to map different types of emotions associated with urbanization. In the recent years, some new methods have been presented for the area of urban and spatial planning that resulted in a fundamental change of the issues and understanding of urban planning. Geographical information system acts as a key factor for analyzing urban emotions from various types of data. This paper presents the unsupervised learning approach for determining urban emotions using K-Means algorithm.

References

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  • About Majitar, https://en. wikipedia. org/wiki/Majitar