Search Results - (( basic classification means algorithm ) OR ( using codification learning algorithm ))
Search alternatives:
- codification learning »
- basic classification »
- classification means »
- using codification »
- learning algorithm »
- means algorithm »
-
1
Improved normalization and standardization techniques for higher purity in K-means clustering
Published 2016“…The K-means algorithm is a famous and fast technique in non-hierarchical cluster algorithms. …”
Get full text
Get full text
Get full text
Article -
2
Non-invasive gliomas grading using swarm intelligence algorithm / Muhammad Harith Ramli
Published 2017“…Bat algorithm is chosen for the development of the prototype for segmentation and classification purpose. …”
Get full text
Get full text
Thesis -
3
Students Activity Recognition By Heart Rate Monitoring In Classroom Using K-means Classification
Published 2024Get full text
journal::journal article -
4
Modelling of clinical risk groups (CRGs) classification using FAM
Published 2006“…FAM is a fast learning algorithm and used less epoch training [4]. Based on its performance in doing the classification, FAM is theoretically suitable to do the CRGs classification. …”
Get full text
Get full text
Conference or Workshop Item -
5
Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…First, the BrC detection model is developed to diagnose BrT basic types like benign and malignant. Second, the BrT classification model is developed to diagnose subtypes of benign and malignant tumors. …”
Get full text
Get full text
Get full text
Thesis -
6
Fuzzy C means imputation of missing values with ant colony optimization
Published 2020“…This paper proposes a improved method of imputation by employing a new version of Fuzzy c Means (FCM) which hybridized with Evolutionary Algorithm to handle missing values problem. …”
Get full text
Get full text
Article -
7
Early detection of spots high water saturation for landslide prediction using thermal imaging analysis
“…There are three segmentation algorithm used in this study such as HSV, K-Means and Feature Matching. …”
Get full text
Get full text
Research Report -
8
-
9
Defect Detection And Classification Of Silicon Solar Wafer Featuring Nir Imaging And Improved Niblack Segmentation
Published 2016“…Meanwhile, a set of descriptors corresponding to Elliptic Fourier Features shape description is extracted for each defect and is evaluated for each cluster to use for clustering and classification part. The classification combines the analysis of defect intensity features, the application of unsupervised k-mean clustering and multi-class SVM algorithms. …”
Get full text
Get full text
Thesis -
10
Hybrid Neural Network With K-Means For Forecasting Response Candidate In Direct Marketing
Published 2014“…The data was collected from the Machine Learning Repository Dataset in the University of California Irvine (UCI).This experiment compares hybrid K-Means + NN with basic NN. The result shows the improvement of accuracy from 91.53% to 91.59%, recall 22.15% to 27.7% and F-Measure 44.23% but not to precision from 61.69% to 60.75%.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
11
Malay continuous speech recognition using continuous density hidden Markov model
Published 2007“…With their efficient training algorithm (Baum-Welch and Viterbi/Segmental K-mean) and recognition algorithm (Viterbi), as well as it’s modeling flexibility in model topology, observation probability distribution, representation of speech unit and other knowledge sources, HMM has been successfully applied in solving various tasks in this thesis. …”
Get full text
Get full text
Get full text
Thesis -
12
Early detection of high water saturation spots for landslide prediction using thermal image analysis
Published 2018“…There are three segmentation algorithm used in this study which are HSV, K-Means and Feature Matching. …”
Get full text
Get full text
Thesis