Araştırma Makalesi

Comparing Clusterings:A Store Segmentation Application

Cilt: 32 Sayı: 44 30 Haziran 2018
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Comparing Clusterings:A Store Segmentation Application

Öz

This study focuses on one of the clustering comparison measures, pair counting techniques such as Rand Index, Adjusted Rand Index and Fowlkes Mallows Index. The aim is discussing their properties and showing a marketing application of the techniques. For an application, a retail chain company’s supermarket stores are segmented with clustering analysis by two approach. The first clustering approach is segmenting stores based on socioeconomic factors and the second approach is based on purchasing behaviors of customers. Since consumer purchases are influenced strongly by socioeconomic factors, this study expects to find an agreement between two clusterings. The results show that while Rand Index value indicates an agreement, Fowlkes-Mallows Index value has found a weak agreement and Adjusted Rand Index value could not find any agreement between two clusterings.

Anahtar Kelimeler

Kaynakça

  1. Aggarwal Charu C. (2015). Data mining: The textbook. Switzerland: Springer.
  2. Agrawal Rakesh, & Srikant Ramakrishnan. (1994). Fast algorithms for mining association rules. In Proc. 20th int. conf. very large data bases, VLDB (Vol. 1215, pp. 487-499).
  3. Fowlkes Edward B, & Mallows Colin L. (1983). A method for comparing two hierarchical clusterings. Journal of the American Statistical association, 78, 553-569.
  4. Hennig Christian, & Liao Tim F. (2013). How to find an appropriate clustering for mixed‐type variables with application to socio‐economic stratification. Journal of the Royal Statistical Society: Series C (Applied Statistics), 62, 309-369.
  5. Hubert Lawrence, & Arabie Phipps. (1985). Comparing partitions. Journal of Classification, 2, 193-218.
  6. Jaccard Paul. (1908). Nouvelles recherches sur la distribution florale.
  7. Jain A. K., Murty M. N., & Flynn P. J. (1999). Data clustering: a review. ACM Computing Surveys, 31, 264-323.
  8. Jain Anil K, & Dubes Richard C. (1988). Algorithms for clustering data: Prentice-Hall, Inc.

Ayrıntılar

Birincil Dil

İngilizce

Konular

-

Bölüm

Araştırma Makalesi

Yazarlar

Emrah Bilgiç *
MUŞ ALPARSLAN ÜNİVERSİTESİ
0000-0002-9875-2299
Türkiye

Özgür Çakır Bu kişi benim
MARMARA ÜNİVERSİTESİ
0000-0003-1410-8162

Yayımlanma Tarihi

30 Haziran 2018

Gönderilme Tarihi

21 Aralık 2017

Kabul Tarihi

6 Haziran 2018

Yayımlandığı Sayı

Yıl 2018 Cilt: 32 Sayı: 44

Kaynak Göster

APA
Bilgiç, E., & Çakır, Ö. (2018). Comparing Clusterings:A Store Segmentation Application. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 32(44), 41-57. https://izlik.org/JA53RM33CU
AMA
1.Bilgiç E, Çakır Ö. Comparing Clusterings:A Store Segmentation Application. ERÜSOSBİLDER. 2018;32(44):41-57. https://izlik.org/JA53RM33CU
Chicago
Bilgiç, Emrah, ve Özgür Çakır. 2018. “Comparing Clusterings:A Store Segmentation Application”. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 32 (44): 41-57. https://izlik.org/JA53RM33CU.
EndNote
Bilgiç E, Çakır Ö (01 Haziran 2018) Comparing Clusterings:A Store Segmentation Application. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 32 44 41–57.
IEEE
[1]E. Bilgiç ve Ö. Çakır, “Comparing Clusterings:A Store Segmentation Application”, ERÜSOSBİLDER, c. 32, sy 44, ss. 41–57, Haz. 2018, [çevrimiçi]. Erişim adresi: https://izlik.org/JA53RM33CU
ISNAD
Bilgiç, Emrah - Çakır, Özgür. “Comparing Clusterings:A Store Segmentation Application”. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi 32/44 (01 Haziran 2018): 41-57. https://izlik.org/JA53RM33CU.
JAMA
1.Bilgiç E, Çakır Ö. Comparing Clusterings:A Store Segmentation Application. ERÜSOSBİLDER. 2018;32:41–57.
MLA
Bilgiç, Emrah, ve Özgür Çakır. “Comparing Clusterings:A Store Segmentation Application”. Erciyes Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, c. 32, sy 44, Haziran 2018, ss. 41-57, https://izlik.org/JA53RM33CU.
Vancouver
1.Emrah Bilgiç, Özgür Çakır. Comparing Clusterings:A Store Segmentation Application. ERÜSOSBİLDER [Internet]. 01 Haziran 2018;32(44):41-57. Erişim adresi: https://izlik.org/JA53RM33CU

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