Notes on codes, projects and everything
2009 January
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Using YUI for DOM Manipulation
After being frustrated of not getting consistent and accurate result via standard DOM methods especially
html_element.getAttribute('key');andhtml_element.setAttribute('key', 'value');, I came across some YUI library components that provides abstractions to various DOM methods. Some interesting DOM-related tools covered in this post areYAHOO.util.Element,YAHOO.util.DOMandYAHOO.util.Selector. -
Random Color Cloud
Just happened to see this post a few months ago, and the author created another cloud that uses almost the same technique to ‘visualize’ a list of countries. The author uses PHP to generate the cloud originally and I thought I may be able to do in javascript. After some quick coding I managed to produce something similar to the first example, source code after the jump.
Random Posts
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Quick HACK 2: Connect to Internet Shortcut
A really sweet new feature in the recently released update is the ability to change lockscreen shortcut. Unfortunately there is no easy way to change connection with my Jolla unlike my old Nokia N9
(no pun intended). As I have not been using my N9 for quite some time, I was only reminded when I came across this thread on TMO. -
Abusing PHP Again: Convert meeTrainer’s CSV to GPX
The Sports Tracker app for my awesome Nokia N9 is not receiving any updates and doesn’t look like things are going to change any time soon. Recently the development team at Sports Tracker published a status update post and sadly there’s no mention of N9 port at all. It’s really sad considering how incomplete the N9 port is at the moment (horrible GPS positioning, no pedometer to name a few).
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The Little Pythoner, Part 2
In the last part, I implemented a couple of primitive functions so that they can be applied in the following chapters. The second chapter of the book, is titled “Do it again, and again, and again…”. The title already hints that readers will deal with repetitions throughout the chapter.
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Regression with 2-means clustering Annoy (non-scientific)
So apparently Annoy is now splitting points by using the centroids of 2 means clustering. It is claimed that it provides better results for ANN search, however, how does this impact regression? Purely out of curiosity, I plugged a new point splitting function and generated a new set of points.
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Re-implementing Approximate Nearest Neighbour Search
Recently I switched my search code to Annoy because the input dataset is huge (7.5mil records with 20k dictionary count). It wasn’t without issues though, however I would probably talk about it next time. In order to figure out what each parameters meant, I spent some time watching through the talk given by the author @fulhack.
