Vertical federated learning with k-means and k-mode

Exploring the Impact of Image Quality on Convolutional Neural Networks: A Study on Noise, Blur, and Contrast

Analysis of Image Quality Assessment Methods and Metrics: A Comprehensive Review

A Review of the Overfitting Problem in Convolution Neural Network and Remedy Approaches

Detection of Fabricated Survey Data using Clustering Analysis

Role of data normalization in k-means algorithm results

Anomaly Detection of ECG Signals using Attention-derived Convolutional Long Short-term Memory

Mining Distributed Data using Vertical Federated Learning Review

Educational Data Mining: Analyzing Teacher Behavior based Student's Performance

A Convolutional Neural Network for Arrhythmia Classification: A Review

Arrhythmia Classification Using One Dimensional Conventional Neural Network

Diabetic retinopathy diagnosis based on convolutional neural network

Performance of K-means algorithm based an ensemble learning

Statistical Texture Descriptor based Local features

Localizing optic disc in retinal image automatically with entropy based algorithm

Predictive Model based on Logical Analysis of Data

Modify Initialization k-means Clustering Algorithm to Generate Initial Centroids

Impact of image contrast on the number of clusters with k-means algorithm

UNCOVERING FEATURES NOISE WITH K-MEANS ALGORITHM USING ENTROPY MEASURE

Using Data Mining technique to diagnosis heart disease

Relationship between disparities of produced values from Aggregate Functions and Bayes Factor

Aggregation is one of the Challenges in Learning Probabilistic Relational Models

Apply Genetic Algorithm To Generate Association Rule

Apply Genetic Algorithm To Generate Association Rule

Disparity of produced values from Aggregate Functions