مقالات حوزه «Clustering»

Topic Word Set-Based Text Clustering

Clustering is the task of grouping related and similar data without any prior knowledge about the labels In some real world applications, we face hug…

KNOWLEDGE DISCOVERY FROM IRANIAN CAPITAL MARKET BY USING DATA PATTERN CLUSTERING

Time series data poses a significant variation to the traditional segmentation techniques of data miningbecause the observation is derived from multi…

Identifying the Factors Affecting the Success and Failure of E-learning Students Using Cluster Analysis

In recent years, e learning is increasingly growing, and many organizations, like universities, are seeking to implement it successfully and taking a…

A novel approach to clustering: Morphology Based Clustering

Clustering is an essential technique in some field of researches such as pattern recognition and machine learning Based on variety of datasets and ap…

A new interactive clustering method based on userbehavior pattern recognition on web

A Cluster-based Channel Assignment Algorithm in Multi-Radio Multi-Channel Wireless Mesh Networks

Recent researches show that channel assignment in Wireless Mesh Networks WMNs is a critical problem The purpose of this study is to present a channel…

Improving the Accuracy and Efficiency of the k-means clusteringusing Optimization Algorithms

Clustering is a popular data analysis and data mining technique The k means clustering algorithm is one of themost commonly used methods However, it…

Wireless sensor network lifetime improvement by utilizing a Quadrotor as the mobile base station

The Wireless Sensor Networks WSNs consist of a large number of small and cheap sensor nodes that have very limited computation and communication capa…

Using Multi-Agent Collective Intelligence for Detecting Overlapping Communities in Social Networks

A social network is a social structure composed of a set of social actors such as individuals or organizations and a set of bilateral relationships b…

مروری بر مقالات مسیریابی مبتنی بر خوشه بندی فازی سی مینز بر روی دو توپولوژی ایستا و پویا در شبکههای حسگر بیسیم

شبکه های حسگر بی سیم ترکیبی از وسایل مستقل می باشند که اطلاعات جمع آوری شده را با استفاده از مسیریابی بی سیم چندگامه به گره ای که سینک نامیده می شود…

Use of the compressed domain features for summarizing videos

This paper presents a new technique in high efficiency video coding HEVC standard which is video summarization By this standard, the features of the…

Improving Traffic Classification Method with Self-Organizing Feature Map (SOFM) Clustering in Software Defined Networks (SDNs)

Using Semantic PSO Clustering Approach for Automatic Text Summarization

Sentence Clustering is often used as a first step in document summarization to find redundant information Number of clusters, type and quality of the…

The Use of Personalization Techniques for Prioritization of Service Offering to Web Users According to Their Need( OWUAT )

Recently, users exploit web mining techniques for various reasons such as web content search, exploring the existing links in web pages, and discover…

Contrast among clustering algorithms with deviation Kullback-Leibler indexing to clustering assignment

This paper demonstrates a correlation between two bunching calculations that utilization dissimilarity measures to help the grouping undertaking Both…

New Algorithm To Maximize The Social Influence in Social Networks

Today, social networking plays a fundamental role to the longevity of information, ideas and influences amongits members A new movement or a novel id…

Efficient Modified-LEACH Protocol for Enhancing WSNs’ Lifetime

An Energy Efficient Routing Protocol in Underwater Wireless Sensor Networks

Underwater wireless sensor network UWSN is a specific kind of sensor networks that is used for underwater environmentsexploration especially the ocea…

Machine Learning Algorithms - A Review

Machine learning, primarily a branch of artificial intelligence, has gained significant attention in the digital sphere as a vital element of digital…

Evaluation of data mining and examination of its role and challenges with the Internet of Things

Plant Diseased Leaf Identification and Classification using Combination of Rough k-means and Super-pixel with Discriminative Features