1. Age of Abalones using Physical Characteristics: A Classification Problem Hiran Mayukh ECE 539 1

2. What is an Abalone? Sea snails found worldwide – Also called sea-ears and ear-shells 2

3. What is this project about? Finding age of an abalone – Cumbersome laboratory process – But physical characteristics easily measurable Use physical characteristics to predict age using a learning algorithm 3

4. What is this project about? Recast as a classification problem – Find age range using physical characteristics 4

5. The Dataset University of California, Irvine’s Machine Learning Repository 8 physical characteristics – Sex – Length – Diameter – Height – Whole weight – Shucked weight – Viscera weight – Shell weight 5

6. The Dataset Preprocessing – Convert age to age range (class label) – Split into training and testing data samples 6

7. Experiments 1.Maximize classification accuracy – k-means – SOM learning algorithm, fine-tuned by LVQ classification – Hierarchical clustering 2.Find most significant features – Elide feature and find classification accuracy 7

8. 8 Thank You!

9. References [1] http://en.wikipedia.org/wiki/Abalone [2] http://archive.ics.uci.edu/ml/datasets/Abalone [3] http://archive.ics.uci.edu/ml/machine-learning- databases/abalone/abalone.names Sources of pictures: [Slide 2] http://animals.howstuffworks.com/marine-life/abalone-info.htm [Slide 3] http://californialegacy.org/radio_anthology/scripts/sterling.html [Slide 4] http://www.islandgourds.com/page6.html [Slide 5] http://www.malibudivers.com/index.php? option=content&task=view&id=125 [Slide 6] http://www.shells-of-aquarius.com/abalone-shells.html [Slide 7] http://naplesseashellcompany.com/red_abalone.html [Slide 8] http://www.theage.com.au/news/national/mystery-virus-wreaks- havoc/2007/02/24/1171734074109.html 9