Switching to ML concepts

As I'm getting a lot of assignments these days I've decided to pause app development and first work on them and they are interesting too.

I'll be detailing about every algorithm which I've learnt and will be learning.
So, lets start with k means algorithm.

K means Algorithm -

Suppose we have been given data about something and we wish to find pattern in the given data like some clusters where we can group similar type of data together.
To achieve this objective we can use k means algorithm.
To use this algorithm we need to have the information about the number of groups/clusters will be there. Let this number is k.

The algorithm -
1. Input - set of points (x1,x2,...xn) of size say n
2. Randomly generate k numbers and assume them to be the centroids at the moment.
3. Repeat until convergence:
    for each point xi:
        Find nearest centroid Cj (Can use eucledian distance to find the nearest centroid)
        Assign the point xi to cluster j
    for each cluster j=i...k
        new centroid Cj = mean of all points xi assigned to cluster j in previous step
4.Stop when none of the cluster assignments change


Note - 
After each iteration centroid will change and get placed optimally(better position than before)
We need to stop updating the centroids when there is no change in the cluster arrangement i.e. if clusters are remaining same for 2 consecutive iterations.

Time Complexity of this algorithm - O(#iteration*#clusters*#instances*#dimensions)

I've implemented this on python - See

The problem was - Given 150 flower's data with (petal length,petal width,sepal length,sepal width) we need to group them into 3 clusters.

I hope this will be helpful.

In addition to this I've rolled out an update for Medicator app. Now the app covers over 125 diseases.

You can check it out here - Medicator

Medicator 2.0 Release

Earlier I had planned to release the update in the first week of february but changed my decision as I completed the work well before time.

Released the major update just 3 days back.

New features include -
1. Total of 100 diseases in the dictionary.
2. BMI calculator
3. Reference Charts for blood tests and urinalysis

In the next update I'll add more diseases.

Do have a look - Medicator 2.0

App Improvement

This week I was busy in adding more features to the medicator app. As of now its a very basic app but with some more features (which I don't want to reveal at the moment) it will be much more useful and complete.

You can expect this update to be rolled out in the first week of february.

At present I've changed my priority from game development to app development. First I want to focus only on this app and then I'll work on the game which I was building.I don't know how much time will I spend on this one but its a very good learning experience for me.

For first 2 days of the week which I spent on SpinIt . I learnt how to add swipe movement to the game screen by changing camera using lerp function in c# unity. I was having some problem in implementing it correctly but in the end I got it right. I am planning to redesign the levels and make them more interesting than just plain blocks.

I'll try my best to resume my game project just after completing the app.

Thank you.