Developing of a New Hybrid Clustering Algorithm Based on Density

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.

Ghazizadeh Ahsaee Mostafa; Shamsadini Farsangi Afsaneh

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

Seminar Paper

Paper Information

Seminar: INTERNATIONAL CONFERENCE ON WEB RESEARCH
Year:2020 | Issue:6

Download Full-Text

View:

Download:

Information Seminar Paper

Title

Developing of a New Hybrid Clustering Algorithm Based on Density

Author(s)

Ghazizadeh Ahsaee Mostafa | Shamsadini Farsangi Afsaneh

Keywords

Data mining

Clustering

Hierarchical

Density

Abstract

Clustering is one of the fundamental techniques of Data mining that is used for dataset analysis. Clustering algorithms group available data based on similarity or distance measures. Two important Clustering methods used in the literature are Hierarchical and Density based methods. A lot of algorithms have been developed based on these two concepts separately. Birch and its extensions are samples of Hierarchical based methods. DBSCAN and its extensions are samples of Density based methods. In this paper, a new algorithm is proposed to use both concepts together to achieve an acceptable speed and results, simultaneously. At first, it tries to make clusters using a Hierarchical method. If it decides to make a new cluster, then the algorithm checks for Density. In this manner, it tries to postpone splitting the clusters. To show the effect of the proposed algorithm, some evaluations are performed on some synthetic and real datasets which show some improvements over related works.

Video

Cites

No record.

References

No record.

Cite

APA: Copy

Ghazizadeh Ahsaee, Mostafa, & Shamsadini Farsangi, Afsaneh. (2020). Developing of a New Hybrid Clustering Algorithm Based on Density. INTERNATIONAL CONFERENCE ON WEB RESEARCH. SID. https://sid.ir/paper/949214/en

Vancouver: Copy

Ghazizadeh Ahsaee Mostafa, Shamsadini Farsangi Afsaneh. Developing of a New Hybrid Clustering Algorithm Based on Density. 2020. Available from: https://sid.ir/paper/949214/en

IEEE: Copy

Mostafa Ghazizadeh Ahsaee, and Afsaneh Shamsadini Farsangi, “Developing of a New Hybrid Clustering Algorithm Based on Density,” presented at the INTERNATIONAL CONFERENCE ON WEB RESEARCH. 2020, [Online]. Available: https://sid.ir/paper/949214/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops