International Conference on Computer and Knowledge Engineering

Please wait ...

Home / 11th International Conference on Computer and Knowledge Engineering

Detecting Non-Spherical Clusters Using Modified CURE Algorithm

Authors :

Arezou Safdari¹ Pedram Salehpour²

1- University of Tabriz Electrical & Computer Engineering department 2- University of Tabriz Electrical & Computer Engineering department

Keywords :

CURE, hierarchical clustering, cluster center, clustering algorithm

Abstract :

Clustering using representatives (CURE) algorithm is a robust hierarchical clustering algorithm which is dealing with noise and outliers. CURE algorithm merges and divides the clusters in some datasets which are not separate enough or have density difference between them. The obtained results show that CURE clustering is sensitive to input parameters. In this paper, the advantages of density-based cluster center detection are represented, and a modified CURE clustering algorithm is developed. The new algorithm determines the cluster centers and doesn't allow merging the clusters which contain cluster centers in data points. Experimental results show that the proposed algorithm has the capability to extract clusters more efficiently than the traditional CURE algorithm.

List of archived papers

Degarbayan-SC: A Colloquial Paraphrase Farsi Subtitles Dataset

Mohammad Javad Aghajani - Mohammad Ali Keyvanrad

Emotion Recognition In Persian Speech Using Deep Neural Networks

Ali Yazdani - Hossein Simchi - Yasser Shekofteh

Artificial Intelligence applications addressing different aspects of the Covid-19 crisis and key technological solutions for future epidemics control

Nadia Khalili - Hojatollah Hamidi

Persian Legal Text Simplification Leveraging Transformer-Based Models

Mohammadreza Joneidi Jafari - Saedeh Tahery - Amirhossein Nikoofard

Instance Selection from Skewed Class Distributions by Using the multi-objective optimizer

Mona Moradi - Javad Hamidzadeh

Pruning and Mixed Precision Techniques for Accelerating Neural Network

Mahsa Zahedi - Mohammad Sediq Abazari Bozhgani - Abdorreza Savadi

A Deep Reinforcement Learning Approach Combining Technical and Fundamental Analyses with a Large Language Model for Stock Trading

Mahan Veisi - Sadra Berangi - Mahdi Shahbazi Khojasteh - Armin Salimi-Badr

Prediction of West Texas Intermediate Crude-oil Price Using Hybrid Attention-based Deep Neural Networks: A Comparative Study

Alireza Jahandoost - Mahboobeh Houshmand - Seyyed Abed Hosseini

Link Prediction for Recommendation based on Complex Representation of Items Similarities

Masoumeh Alinia - Seyed Mohammad Hossein Hasheminejad - Hadi Shakibian

Blind image quality assessment based on Multi-resolution Local Structures

Seyed Majid Khorashadizadeh - Mehdi Sadeghi Bakhi - Fatemeh Seifishahpar - AliMohammad Latif

more

Samin Hamayesh - Version 44.12.3