K- nearest neighbour (KNN)
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Recent papers in K- nearest neighbour (KNN)
Classification is one of the most predominant tasks for wide range of applications such as Sentiment analysis in text, voice recognition, image recognition, genetic engineering, data classification etc. Though many efficient... more
Parkinson's disease is a central nervous-system disorder. 90% of people with parkinson disease are reported to have speech and voice disorders. Vocal folds are normally weakened by this disorder and the patient talks improperly. Various... more
'El Diario de Juárez' is a local newspaper in a city of 1.5 million Spanish-speaking inhabitants that publishes texts of which citizens read them on both a website and an RSS (Really Simple Syndication) service. This research applies... more
In todays present day world, Globalization, demographic transition, lifestyles fashion modifications and nutritional meal patterns impacts people's nutrition. This painting tries to illustrate the evaluation of malnutrition primarily... more
Industrial safety stays basic worry in many nations. Industrial accidents cause human suffering as well as result in immense money related misfortune and ecological effects. To counteract these accidents in the future, the examination of... more
The fundamental cause of death among women in developed nations of the world is breast cancer. Breast cancer has been identified as one of the most deadly type of cancer prevalent among women globally. There have been a dramatic increase... more
We suggest a method for defining the hand movements or Mudras of Bharatanatyam. This requires a pre-processing stage in which a skin-based segmentation is performed to obtain the boundary of the hand. The extraction process of the... more
There is a long lineage in neighbourhood research that has underpinned sustained academic and policy interest in the UK centred on understanding how spatial ‘clusters’ of neighbourhood-based deprivation might be destabilised. This has... more
During the past few years, time series models and neural network models are widely used to predict traffic flow and traffic congestion based on historical data. Historical data traffic from sensors is often applied to time series... more
Three algorithms for the forecasting of energy consumption at individual EV charging outlets have been applied to real world data from the UCLA campus. Out of these three algorithms, namely k-Nearest Neighbor (kNN), ARIMA, and Pattern... more
The fundamental cause of death among women in developed nations of the world is breast cancer. Breast cancer has been identified as one of the most deadly type of cancer prevalent among women globally. There have been a dramatic increase... more
Praca opisuje w sposób przeglądowy (zgodny z profilem czasopisma Informatyka) zagadnienia związane z rozpoznawaniem obrazów. Przedstawione jest zadanie rozpoznawania (wraz z jego charakterystyką), omówione jest pojęcie przestrzeni cech,... more
In this paper we describe a semi-supervised approach to person re-identification that combines discriminative models of person identity with a Conditional Random Field (CRF) to exploit the local manifold approximation induced by the... more
Skin cancer is the most common among all cancers and its early diagnosis increases the patient's chances of healing. One of the ways to make this diagnosis is through dermatoscopy. Dermatoscopy is a technique that consists of recognizing... more
This report intends to classify three types of wine by thirteen of their physical and chemical properties. The classification was done using K Nearest neighbour (KNN) and decision tree classifiers from sklearn in python. It was found that... more
This research demonstrates that transmission line faults can be classified automatically according to their underlying cause, and lays a foundation for operational classification of transmission line faults in system control centres. The... more
With the advancement of internet technology, the numbers of threats are also rising exponentially. To reduce the impact of these threats, researchers have proposed many solutions for intrusion detection. In the literature, various machine... more
Clinical predictions using clinical data by computational methods are common in bioinformatics. However, clinical predictions using information from genomics datasets as well is not a frequently observed phenomenon in research. Precision... more
There are more than thousands of insurance companies in the world which handles large amount of data. Insurance fraud has become the most common among the organizations across the industries. Insurance industry is one among the most... more
—Early detection of cancer is the most promising way to enhance a patient's chance for survival. This paper presents a computer-aided classification method using computed tomography (CT) images of the lung based on ensemble of three... more
Developing and nurturing talented employees costs enormous amounts of work time, money, and company performance. In addition, training and adaptation of employees consume time and money. Therefore, estimating the employee turnover rate is... more
In recent years, the vision-based innovation of hand motion acknowledgment is a significant piece of human computer interaction (HCI).In the last decades; keyboard and mouse play a significant role in human-computer interaction. However,... more
The construction industry has suffered for many years from productivity losses such as delays. The continual growth in complexity of construction projects such as highrise buildings in the 21st century further aggravates the issue. Thus,... more
The aim of this project is to implement the heart disease prediction application. Many people all over the world like nearly 60% of the world's population are now-a-days suffering from heart disease. Heart Disease Prediction system is an... more
A Phonocardiogram or PCG is a plot of high fidelity recording of the sounds and murmurs made by the heart with the help of the machine called phonocardiograph. It has developed continuously to perform an important role in the proper and... more
This article presents an innovative research methodology that enables the efficient classification of cardiac disorders (17 classes) based on ECG signal analysis and an evolutionary-neural system. From a social point of view, it is... more
Ever since humans started competing with each other, people have tried to accurately predict the outcome of such events. Football is no exception to this and is extra interesting as subject for a p ...
High-rise buildings, which have become a significant part of the urban habitat, is particularly notorious for their delayed completion times. Though, there exists a plethora of studies on construction delays, the problem however is... more
Generalized Information (GI) is a measurement of the degree to which a program can be said to generalize a dataset. It is calculated by creating a program to model the data set, measuring the Active Information in the model, and... more
Agriculture is a major source of income for a very large population in India and a lot of people depend upon it both for livelihood and consumption of the produce obtained. Therefore, it is a very important sector. Diseases are a major... more
Context awareness was introduced in several fields in routine human activities. Healthcare systems are the most important ones among context-aware applications. The existence and awareness of the context made mobile device users conscious... more
K-Nearest Neighbor (KNN) adalah suatu metode yang menggunakan algoritma supervised dimana hasil dari query instance yang baru diklasifikan berdasarkan mayoritas dari kategori pada KNN. Tujuan dari algoritma ini adalah mengklasifikasikan... more
The absence of prediction system that can provide prediction analysis on the graduation rate of students becomes the reason for the research on the prediction of the level of graduation rate of students. The number of students who... more
The present article discusses various preprocessing techniques suitable for dealing with time series data for environmental science-related studies. The errors or noises due to electronic sensor fault, fault in the communication channel,... more
Sign language is a tool used by deaf for communication. They use different gestures to express their thoughts and communicate to people. Each gestures or movement of the hand has a special assigned meaning. Previous studies were conducted... more
Nowadays, recommendation systems are used successfully to provide items (example: movies, music, books, news, images) tailored to user preferences. Amongst the approaches existing to recommend adequate content, we use the collaborative... more
Million Song Data Set is the largest Dataset on Music till date and is developed in Columbia University. The main acoustic features are defined by the Echo Nest Analyze API. The API provides these for every “segment”, which are generally... more
( Alternatif Link download Buku Analisis Big Data: http://bit.ly/2x8ta9S ) Alhamdulillahhi robbil alamin, puji syukur kehadirat Allah SWT atas segala rahmat dan karunia-Nya dengan terselesaikannya penulisan buku ini dengan judul... more