People Related to Computers

Data Mining Related Teaching Resources such as PPT's, Notes, Quizzes, Video Lessons, Applets. To Go To Main Resource Page

Data Mining Research Data Sets

UC Irvine Machine Learning Repository
Carnegie Mellon Statlib Archive
DELVE Datasets:
MIT Broad Institute Cancer Datasets

Useful Video Lessons

Video Lessons developed by me on Weka. You may find Weka SW also there. Enjoy

Useful Teaching Applets

1. 
   Mining Massive RFID, Trajectory, and Traffic Data Sets
   Jiawei Han, Jae-Gil Lee, Hector Gonzalez, Xiaolei Li
   2 videos
2. Binomial Distribution
3. Occams Razor
4. Principal Component Analysis Applet
5. Some other Nearest Neighbour rules related applets
6. Adaptive Principal Component Extraction
7. PCA From other Learning Procedures
8. Perceptron Learning
9. Perceptron Learning
10. Radial Basis Functions
11. Gaussian Mixture Model
12. Competetive Learning
13. Support Vector Machines
14. Multilayer Perceptron with binary input
15. Multilayer Perceptron with Bi-polar input
16. Prediction with Multilayer Perceptron
17. OCR with Multilayer Pereceptron
18. Backpropagation for Function Approximation
19. Factor Reduction
20. Least Squares Fitting
21. Logistic regression
22. Adaboost
23. EM Algorithm
24. Decision Surfaces in Knn Algorithm
25. PCA Applet
26. Bayesian Belief Networks
27. Decision Tress
28. Constraint Based Minimizaion
29. Neural Networks
30. Hidden Markov Models
31. A Novel SOM-based approach for text mining
32. JavaBayes
33. Linear Programming Solution
34. Linear Programming
35. LP solver of Any Dimesion
36. SVM
37. Applet for PR
38. Classifier
39. Regression Applet
40. SVM
41. IEEE Resources
42. DELTA RULE APPLET)
43. Mixture Models
44. Text classification Applet
45. Text classification Applet
46. 1-D SVM Regression
47. SVM Applet
48. Hierarchical Clustering Algorithm
49. Fuzzy C Means Algorithms
50. Another K-Meanss Applet With different distance metrics options
51. K-NN Applet with multiple groups Ability
52. Competetive Learning
53. K-Means Clustering
54. Bayesian Classifier
55. Linear Classifier
56. An Applet for Hypothesis Testing
57. Simple 1-D Classification Applet
58. Local Boosting Algorithms
59. Pattern Recognition Applet with many classification algorithms
60. SVM Applet
61. Kohonen Maps
62. Application of Normal Distribution
63. Self Organising Maps
64. ANOVA Apllet
65. Correlation and Slope Intercept
66. 2D Principal Componenets
67. Least Absolute Deviation Regression
68. Multicolinearity
69. Polynomial Regression
70. COBWEB DEMO
71. Version State Demo Applet
72. Kernel Regression
73. Minimum Spanning Tree Clustering
74. Hypervolume Clustering Methods
75. Genertic Algorithms
76. Nearest Neighbour Applet
77. Nearest Neighbour Classification
78. Gaussian Process regression
79. various Statistics tests such as t-test, Kolmogrov test, Chi Square testing,ANOVA test
80. Least Squares Fitting
81. Normal Distribution
82. Z-Scores Demo.
83. Normal Tables Demo
84. Regression
85. Central Limit Theorem Applet
86. Bayesian Applet This applet is very attractive as it allows us to see the classes and how decision surface will effect with the change in their variance.
1. Change X and Y standard deviations of class 1 and see how decision surface changes.
2. Change X and Y standard deviations of class 2 and see how decision surface changes.
3. Change X and Y standard deviations of class 1&2 such that they overlap and see how decision surface changes.
87. Bayes Applet for Discrete Attributes.

Competitive Learning

• Vector Quantizer (VQ) Related to hard competitive learning. (in Japanese)
• VQ 2 by ELBG algorithm.
• Gaussian Mixture Model Related to soft competitive learning.
• Multinomial Mixture Model
• Self-Organizing Maps (SOM) 1
• SOM 2
• SOM 3 dead?
• SOM 4
• Several SOMs
• Interactive SOM
• 3D SOM Go to `sample applet'.
• Colourful SOM with other neural applets. dead?
• SOM and its variations (in Japanese) dead?
• SOM for the Travelling Salesman Problem(TSP) 1
• SOM for the TSP 2 dead?
• SOM for the TSP 3 (in Japanese)
• SOM for the TSP 4
• SOM for the TSP 5
• Pattern Recognition using Kohonen Featuremap
• SOM, LVQ and ART with AL.
• Elastic Net for TSP
  SOM and elastic nets can be regarded as competitive learning with a topological constraint.
  TSP is the most notorious one in the NP-complete problems. The definition is simple: Find the shortest closed-path through all points.
  (You can also see it here.)
• Neural Competitive Models Demo
  Comparison between various kinds of competitive learning with topology reformation.
• Bayesian Self-Organizing Maps (BSOM)
  SOM as a statistical model. Learning is regarded as an estimation algorithm for its parameters. Hyperparameters also are estimated. Ultimately a probability densty function for data is estimated.

Backpropagation Learning

• Multi-layer Java Perceptron dead?
• Back Propagation: XOR
• 3-Layer Neural Network dead?
• Learning of Coordinate Conversion dead?
• Learning of Function Approximation
• Artificial neural network demos Upper page of 'Learning of Function Approximation'. Including image compression, ball balancing, etc.
• Character Recognition dead?
• Broom-Balancing Neural Net dead?
  
• Neural Net Consulter 3D-SOM & Back Propagation XOR by JavaScript.
• Neural Bench dead?
• NeuroKit dead?
• Jafa - Java Applet for Financial Applications Using neuro-genetic computing. dead?
• JNet dead?
  We can view various types of graphs. Early stopping method to avoid overtraining is employed.
• Interactive Tutorials on Artificial Neural Learning From artificial neuron to multi-layer perceptron.
• Animated Neural Network Learn 3-D plane
• Artificial Neural Network Handwriting Recognizer (JDK 1.1)
• OCHRE - Optical Character Recognition
• Back Activation Project (JDK 1.1) dead?
• Several BP

Neural Nets for Constraint Satisfaction and Optimization

• Hopfield Net
• Hopfield Net with `Programming Neural Networks in Java'.
• N-Queen Problem dead?
• 8-Queen Problem
• Test of Unicursality of a Graph (in Japanese)
  First, set vertices of a graph. Then, press the next button and go to the link setting mode. Finally, by pressing the next button the possibility to draw the graph with a single stroke of the blush is determined. The author has other applets.
• Boltzmann Machine: Necker Cube Example
• Content Addressing Memory by Hopfield Net
• Brain Wave If you go to 'Try it now', you can try demo for interactive activation and competition network. dead?
• Pattern reconstruction
• TSP

Other Neural Networks

• Generalized Cerebellar Model Articulation Controller(GCMAC) dead?
• Neurosolver for Block World
• Neurosolver for Rat Maze
• Black Jack and Reinforcement Learning
• Artificial Intelligence, Artificial Life, and Neural Networks
• TD Learning Project

---

Artificial Life

Genetic Algorithm

• Genetic Algorithm (GA) 1
• GA 2
• GA 3Spatial GA, TSP dead?
• GA 4 Evolving creatures to walk. dead?
• TSP by GA (in japanese) dead?
• TSP by GA 2 (JDK 1.1)
• Maze Solver by GA
• GA Moth (JDK 1.1) dead?
• The GA Playground solves many problems. (JDK 1.1)
• Genetic Programming(GP): Symbolic Regression
• GP: Interactive Truck Demo
• GP: Optiziming Traffic Flow
• Aworld: AL using GP
• Distributed GP on the Internet dead?
• Differential Evolution (DE) for Continuous Function Optimization
• Evolutionary Search for the Optimal Subset Selection Complete class representation is used as gene code. dead?
• Evolvica: Evolutionary Algorithms in Action
• TSP Using Evolutionary Programming
• Pole Balancer using a reinforcement learning method called SANE (Symbiotic, Adaptive Neuro-Evolution). Its upper page includes movies and papers.
• TSP by GA

Biomorph & L-system

• Biomorph1 Simulation of selective breeding. dead?
• Biomorph2 dead?
• Biomorph3
• Biomorph4 dead?
• Design Aid System dead?
• L-system1 Simulation of plant growth. dead?
• L-system2
• L-system3 (in Japanese)
• L-system4 (JDK 1.1?, in Japanese) dead?
• The Natural Geometry of Fractals including L-system.
• Particle Tree dead?

Life Game

• Life Game1 dead?
• Life Game2 dead?
• Life Game3 dead?
• Life Game4
• Life Game5 dead?
• Life Game6 dead?
• LifeBox 2D Cellular Automata including Life Game dead?
• LogiCell
• Mirek's Java Cellebration (MJCell)
• Color Game Of Life Visual Exhibition

Boid

• Boids1 Simulation of flocking of animals
• Boids2 dead?
• Boids3(in Japanese) dead?
• Boids4
• Boids5 dead?
• Flozoids(=Boids?)
• Floys territoral animals like boids.
• iFloys Individualistic Floys
• Swarm dead?
• Frog Queue: Kaeroid

Other AL

• Bumble Evolving Bees dead?
• Evolution of Critters
• Evolving Combots dead?
• Virtual Darwin World: Evolving Bugs dead?
• Manna Mouse GA demo
• Langton's Ant1 dead?
• Langton's Ant2 dead?
• Living Art Similar to Langton's Vants. There are other AL-applets in the higher page dead?
• Evolving Antcolonies Programs for the behavior of colonies are displayed. dead?
• Finite State Automata -- Genetic Algorithm Ants dead?
• Artificial Termites dead?
• Bugs dead?
• Java Antz
• Super-Duper GP Critter Simulation
• Self Reproducing Cellular Automata Loops
• Cellular Mitois to Cellular Automata
• Cellular Programming Evolutionary Algorithm
• Profit Sharing Simulation dead?
• Predator dead?
• Simulated Predator Prey Ecology - Cellular Automata (JDK 1.1)
• Life Model System by BioFacts dead?
• Think Tank dead?
• Stupid Aomeba
• JuhasWorld evolving boid-like flock (JDK 1.1?)
• Ant page
• Salamander Java applet neuromechanical simulation

AL collection

• The Philosophical Computer Exploratory Essays in Philosophical Computer Modelling (The GAME OF LIFE and PRISONER'S DILEMMA)
• Artificial Lifeform Simulacrums various types of CA
• Artificial Life Life Game, L-system, Biomorph, CA, GA, Self Organization (in Japanese)
• ALife Central CA, GA, boids, etc. dead?
• The Temple of Alife BioMorph, Flock and various CAs
• Digital Biology
• My Alife software
• The Collection of Java Applets for AL and Learning
• Artificial Life Portal (See also Framsticks.)

---

Other Related Applets

• Simulated Annealing (SA) A technique for global optimization dead?
• Cell Placement by SA
• Visualizing the Search Space of the NP Placement Problem Using SA
• Cooperative SA
• TSP by Cooperative SA
• Simple Ising Model dead?
• Chemical Casting Model (CCM) dead?
• WebsideCA - The Isle Ex CA Explorer
• Metropolis-Hastings algorithms MCMC
• Edge of Chaos Cellular Automata
• 2D Totalistic Cellular Automaton including Life Games.
• Emergence of Chaos
• Many Complex Applets
• The Prisoner's Dilemma One of CAs (JDK 1.1)
• CAOS - Simulation of One-Dimensional Cellular Automata (JDK 1.1)
• Random CAs (in Japanese)
• Complex Systems Created by Cellular Automata (JDK 1.1)
• Modern Cellular Automata
• Bayesian Network dead?
• Bayesian Network2
• Bayesian Expert System Using Bayesian Network dead?
• Reinforcement Learning 1 Maze Solver
• Reinforcement Learning 2 Q-leaning dead?
• Turing Machine antique style dead?
• Turing Machine2 dead?
• Turing Machine3
• Turing Machine4
• Turing Machine5
• Turing Machine6
• Voronoi and Delaunay Diagram1 dead?
• Voronoi and Delaunay Diagram2 Related to VQ.
• The Voronoi Game [new]
• Auto Layout of Undirected Graph I learned many important Java-techniques from this applet.
• Mathtools.net

Some Historical Machines