Results 191 to 200 of about 1,105 (219)

A fast fuzzy K-nearest neighbour algorithm for pattern classification

Intelligent Data Analysis, 2000
A fast procedure for classifying a given test pattern to one of its possible classes using both the K-NN decision rule and concepts of the fuzzy set theory is described in this paper. The method is divided into two steps; in the first step the K nearest neighbours are found using a fast procedure, whereas in the second step the test pattern is ...
Yiannis S. Boutalis, Ioannis Andreadis, George D. Tambakis   +2 more
openaire   +3 more sources

Modified K-Nearest Neighbour Using Proposed Similarity Fuzzy Measure for Missing Data Imputation on Medical Datasets (MKNNMBI)

International Journal of Fuzzy System Applications, 2022
Early disease diagnosis is a burning problem in health sector, medical domain and disease management. During analysis, quality of the data can be achieved only if the data is complete. Missing values reduces the efficiency of data analysis task. Researchers proposed various imputation methods but always there was a need for a better imputation method ...
B. Mathura Bai, Nimmala Mangathayaru, B. Padmaja Rani   +2 more
openaire   +1 more source

Fuzzy clustering based on -nearest-neighbours rule

Fuzzy Sets and Systems, 2001
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Noureddine Zahid, O. Abouelala, Mohamed Limouri, Abderrahmane Essaid   +3 more
openaire   +2 more sources

DETEKSI PENYAKIT TANAMAN RAMBUTAN BERDASARKAN CITRA DAUN MENGGUNAKAN FUZZY K-NEAREST NEIGHBOUR

MUSTEK ANIM HA, 2021
Buah rambutan merupakan salah satu tanaman buah lokal Kabupaten Merauke. Tanaman buah ini dihasilkan di beberapa daerah antara lain daerah Muting, Ulilin, dan Bupul. Hasil produksi tanaman buah rambutan ini diekspor ke beberapa daerah di sekitar kota Merauke seperti Kabupaten Boven Digoel, Kabupaten Mappi, Kabupaten Asmat.
Johana Anike Mendes, Tri Kustanti Rahayu
openaire   +1 more source

A semi-supervised dynamic version of Fuzzy K-Nearest Neighbours to monitor evolving systems

Evolving Systems, 2010
Data issued of most real-world applications are evolving; they change constantly over time. In such applications, it is difficult to induce correctly a model (classifier) using traditional classification methods. Thus, it is important to use an adapted classification method to build a classifier and to update its parameters as new data is available. In
Hartert, Laurent, Sayed-Mouchaweh, Moamar, Billaudel, Patrice   +2 more
openaire   +1 more source

Product Recommendation System Using Tunicate Swarm Magnetic Optimization Algorithm-Based Black Hole Renyi Entropy Fuzzy Clustering and K-Nearest Neighbour

Journal of Information & Knowledge Management, 2021
The recommendation system takes the information related to the user profile or interest to suggest the user with convenient materials that the user is interested in. Most of the existing implicit methods find the user preferences and automatically recommend the desired products in the interface, but failed to generate user-oriented results.
Shefali Gupta, Meenu Dave
openaire   +1 more source

Fuzzy K-Nearest Neighbour (FkNN) Based Early Stage Fire Source Classification in Building

2018 IEEE Conference on Systems, Process and Control (ICSPC), 2018
Assessing the smell of burning is vital, as it can help to further detect and prevent early fire. In this paper, an early stage fire detection algorithm has been introduced using Fuzzy k- Nearest Neighbour (FkNN). The tests were made on normally available seven fire sources and three building structure resources. All the test samples were scorched in a
A. M. Andrew, A. Y. M. Shakaff, A. Zakaria, R. Gunasagaran, E. Kanagaraj, S. M. Saad   +5 more
openaire   +1 more source

Effect of Southern Oscillation Index and spatially distributed climate data on improving the accuracy of Artificial Neural Network, Adaptive Neuro‐Fuzzy Inference System and K‐Nearest Neighbour streamflow forecasting models

Expert Systems, 2013
AbstractStreamflow forecast models are essential ingredients for water resources management. Due to nonlinear nature of streamflow generation, Artificial Neural Networks (ANNs), Adaptive Neuro‐Fuzzy Inference System (ANFIS) and K‐Nearest Neighbour (K‐NN) have turned into popular forecast models.
Bahram Saghafian, Sedigheh Anvari, Saeed Morid   +2 more
openaire   +1 more source

A Spiking Neural Networks Model with Fuzzy-Weighted k-Nearest Neighbour Classifier for Real-World Flood Risk Assessment

2019
Inspired by the brain working mechanism, the spiking neural networks has proven the capability of revealing significant association between different variables spike behavior during an event. The combination of the capability of SNN to produce personalised model has allowed high-precision for data classification.
Mohd Hafizul Afifi Abdullah, Muhaini Othman, Shahreen Kasim, Shaznoor Shakira Saharuddin, Siti Aisyah Mohamed   +4 more
openaire   +1 more source

Performance analysis of face recognition by combining multiscale techniques and homomorphic filter using fuzzy K nearest neighbour classifier

2010 INTERNATIONAL CONFERENCE ON COMMUNICATION CONTROL AND COMPUTING TECHNOLOGIES, 2010
The face recognition problem is made difficult by the great variability in head rotation and tilt, lighting intensity and angle, facial expression, aging, partial occlusion (e.g. Wearing Hats, scarves, glasses etc.), etc. In this paper two multi scale techniques Discrete Cosine Transform and Discrete Wavelet Transform are used.
openaire   +1 more source