FUZZY CLUSTERING ANALYSIS OF COMPOSITIONAL DATA AND COMPARING IT WITH EXPLORATORY COMPOSITIONAL DATA DENDROGRAM, CASE STUDY: ANAR REGION STREAM SEDIMENTS GEOCHEMISTRY

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

MOINI HAMID; MOHAMMAD TORAB FARHAD; KEYKHA HOSSEINPOUR MAJID

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING Year:2017 | Volume:6 | Issue:12 Page(s): 11-19

Download Full-Text

Persian Verion

View:

945

Download:

Cites:

Information Journal Paper

Title

FUZZY CLUSTERING ANALYSIS OF COMPOSITIONAL DATA AND COMPARING IT WITH EXPLORATORY COMPOSITIONAL DATA DENDROGRAM, CASE STUDY: ANAR REGION STREAM SEDIMENTS GEOCHEMISTRY

Author(s)

MOINI HAMID | MOHAMMAD TORAB FARHAD | KEYKHA HOSSEINPOUR MAJID | Issue Writer Certificate

Keywords

STREAM SEDIMENTS

ANAR REGION

FANNY ALGORITHM

COMPOSITIONAL DATA (CODA) DENDROGRAM

AITCHISON DISTANCE

CLR-TRANSFORM

Abstract

Summary: One of the most important methods in unsupervised datamining is clustering that when applied on variables leads to dimension reduction. Among all of them, fuzzy clustering methods are preferred because of special features and better flexibility in partitioning groups. In this study, FANNY ALGORITHM proposed by Kauffmann and Rousseuw has been applied in variable clustering of the geochemical STREAM SEDIMENTS that have a compositional nature. Referring to the extensive recent researches and novel methods presented in opening compositional data, another definition of distance is needed for them to be transformed isometrically to the euclidean space to be interpretable with classical operations. In this case study after preparation of geochemical STREAM SEDIMENTS data of ANAR REGION in Kerman, first the exploratory dendrogram of the simplex space was plotted and 4 clusters were obtained. Then using FANNY ALGORITHM, CLR-TRANSFORMed variables were clustered. It showed an acceptable conformity with the dendrogram results. In case of determining the balances of SBP manually instead of default and with a prior knowledge, the results of exploratory dendrogram would be more precise.Introduction: Geochemical exploration based on stream sediment analysis, is one of the most important methods in assessing mineral potentials in prospecting brownfield areas. Different statistical methods have been developed to identify the pattern of groups of associated geochemical elements in the last decades. In this research, STREAM SEDIMENTS data clustering of Anar exploratory region have been analyzed with a particular perspective of the closed nature of geochemical datasets using two known methods, fuzzy clustering and exploratory dendrogram.Methodology and Approaches: First, using R software compositions-package, exploratory dendrogram of compositional data was calculated and plotted based on ward criterion and default sequential binary partition balances in simplex space. Due to applying this method, 4 clusters were detected. Then by applying FANNY ALGORITHM (cluster package) –one of the most flexible ones in fuzzy clusterings –on clr- transformed data, 4 clusters with the best silhouette were determined. The fuzzification degree was selected in a way that would be near to crisper methods like dendrogram in order to compare the results.Results and Conclusions: Although different methods applied on transformed compositional data, their similar results showed very good conformity with lithology and geological structures. It presented a good separation in simplex space. If the balances in SBP are to be defined manually, the reduced dimensions of the variables would be more informative.

Cites

No record.

References

No record.

Cite

APA: Copy

MOINI, HAMID, MOHAMMAD TORAB, FARHAD, & KEYKHA HOSSEINPOUR, MAJID. (2017). FUZZY CLUSTERING ANALYSIS OF COMPOSITIONAL DATA AND COMPARING IT WITH EXPLORATORY COMPOSITIONAL DATA DENDROGRAM, CASE STUDY: ANAR REGION STREAM SEDIMENTS GEOCHEMISTRY. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 6(12 ), 11-19. SID. https://sid.ir/paper/266084/en

Vancouver: Copy

MOINI HAMID, MOHAMMAD TORAB FARHAD, KEYKHA HOSSEINPOUR MAJID. FUZZY CLUSTERING ANALYSIS OF COMPOSITIONAL DATA AND COMPARING IT WITH EXPLORATORY COMPOSITIONAL DATA DENDROGRAM, CASE STUDY: ANAR REGION STREAM SEDIMENTS GEOCHEMISTRY. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2017;6(12 ):11-19. Available from: https://sid.ir/paper/266084/en

IEEE: Copy

HAMID MOINI, FARHAD MOHAMMAD TORAB, and MAJID KEYKHA HOSSEINPOUR, “FUZZY CLUSTERING ANALYSIS OF COMPOSITIONAL DATA AND COMPARING IT WITH EXPLORATORY COMPOSITIONAL DATA DENDROGRAM, CASE STUDY: ANAR REGION STREAM SEDIMENTS GEOCHEMISTRY,” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 6, no. 12 , pp. 11–19, 2017, [Online]. Available: https://sid.ir/paper/266084/en

Related Journal Papers