Search Results - (( java implementation tree algorithm ) OR ( learning basic clustering algorithm ))
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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. …”
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2
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…Using the J48 tree algorithm implemented through WEKA API on a Java Servlet, data provided is processed to derive a health index of the plant, with the possible outcomes set to “Good,” “Okay”, or “Bad”. …”
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3
A Survey Of Supervised Machine Learning In Wireless Sensor Network: A Power Management Perspective
Published 2013“…Machine learning algorithms are considered as an efficient way for decision making in computational environments. …”
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4
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…The method was implemented using Java and the results of the simulation were evaluated using five standard performance metrics: accuracy, AUC, precision, recall, and f-Measure. …”
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5
Penggunaan penggugusan subtraktif bagi menjana peraturan kabur
Published 2005“…By using the fuzzy clustering algorithm, membership function could be counted based on two possible clustering methods. …”
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6
Embedded system for indoor guidance parking with Dijkstra’s algorithm and ant colony optimization
Published 2019“…This study proposes a car parking management system which applies Dijkstra’s algorithm, Ant Colony Optimization (ACO) and Binary Search Tree (BST) in structuring a guidance system for indoor parking. …”
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7
i-ManGoeS
Published 2017“…The system makes use of machine learning techniques to classify the actions that are described with a set of a few basic gestures. …”
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Book Section -
8
SnapShare: AI Trained Mobile App to Share Snaps Automatically
Published 2020“…SnapShare basically uses Deep learning (DL) and Machine Learning (ML) techniques for Face Recognition from the captured images. …”
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Penggunaan penggugusan subtraktif bagi menjana peraturan kabur
Published 2005“…By using the fuzzy clustering algorithm, membership function could be counted based on two possible clustering methods. …”
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10
Distance measure and its application to decision making, medical diagnosis, and pattern recognition problems under complex picture fuzzy sets
Published 2025“…Distance measures play an essential role in establishing a useful link from the expression of imprecise and uncertain information to various real life applications, including machine learning, market predictions, decision-making processes, clustering, and pattern recognition. …”
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