AN6U5
  • Member for 6 years, 9 months
  • Last seen more than a week ago
Cluster analysis as an associative model?
1 votes

I try to stay away from bounty problems as they seem to lead to one upmanship, but I can't resist this one as its an interesting question... The upper classification method that your describe sounds ...

View answer
Finding a proper method for an online driving style classification using acceleration data
1 votes

Supervised vs. Unsupervised Learning You will first need to decide whether to approach this as a supervised or unsupervised learning problem. For supervised learning, you would need to take some ...

View answer
How to reduce dimensionality of audio data that comes in form of matrices and vectors?
1 votes

Just unroll the matrices into a large set of features: If all of the matrices are the same size, you can just unroll them into a large feature set e.g. a 20 x 20 matrix turns into 400 features. You ...

View answer
How to model user's buying behavior on Amazon?
1 votes

How will you validate your algorithm? Rather than trying to answer the second question, consider that your answer to the first question might need revision... What methods have you used for ...

View answer
Face Recognition using Eigenfaces and SVM
Accepted answer
1 votes

Take a look at the code that you linked to: # Download the data, if not already on disk and load it as numpy arrays lfw_people = fetch_lfw_people(min_faces_per_person=70, resize=0.4) fetch_lfw-...

View answer
Please list some well tested api's for arima model
Accepted answer
1 votes

Statsmodels: Statsmodels is your best bet for a python library that includes ARIMA. I have used it fairly extensively and am quite happy with it. But, its certainly not as well tested as R based ...

View answer
Handling many missing values
1 votes

There are a number of different ways to impute data when you have missing values. Far to many people just delete those records, which often contain useful training data. Further, some people advocate ...

View answer
Kmeans on mixed dataset with high level for categ
1 votes

Lets break this down... You have 3 numerical attributes. Great... standardize them by subtracting their means and dividing by their standard deviation. You always need to standardize when you ...

View answer
Best way to fuse clusters smaller than a certain size in a distributed way?
1 votes

I'm not really seeing the issue with an infinite loop. It seems like you are looping through your clusters and finding all the clusters that need to be merged, then in a separate loop doing the ...

View answer
normalize dependent variable with respect to one independent variable
1 votes

Though continuum regression methods appear to be significantly different from binary classification methods, the crux of the difference is usually tied up in a sigmoid function. $$S(t)=\frac{1}{1+e^-...

View answer
Developing an Empirical Model for Non-Linear Data
Accepted answer
1 votes

A couple of thoughts... First as a (former) physicist: As a scientist/physicist I would likely never be satisfied to analyze the data that you have presented because there are some obvious issues ...

View answer
Privacy through fake data?
1 votes

This was the idea behind paranoid linux which began as fiction and became a real project that did not reach fruition: "Paranoid Linux is an operating system that assumes that its operator is under ...

View answer
How to calculate a specific time complexity of inverse calculation of matrix?
1 votes

@Olologin is correct for very basic direct solves with no optimization, but there are optimizations that exist, so I wanted to add a few points... A great many mathematicians spend their entire ...

View answer
Alignment of square nonorientable images/data
Accepted answer
1 votes

Fun with Group Theory! There are only 8 unique rotation-inversion operations for a square matrix. The four rotation operators are (0,90,180,270). Further rotation or rotation in the reverse ...

View answer
Adaptive learning of user's IoT setting preferences
1 votes

This sounds like a fun problem but it very open ended! I will provide some links from the Scikit-Learn User Guide. There are many more reading options, but the SKL Userguide has lots of examples and ...

View answer
Solutions for Continuous Online Cluster Identification?
1 votes

Stability-Plasticity Dilemma, Learning Rates, and Forgetting Algorithms: First, let me say that this is a really great question and is the type of thought provoking stuff that really improves one's ...

View answer
Finding Episodes in event sequence
1 votes

The paper that you cited references two other papers that explain the method you are looking for here and here. The second one is behind a pay wall. But... these look like deterministic methods to ...

View answer
Fraud detection use text mining
1 votes

I would suggest playing around with this in either R or Python using Scikit Learn. The text will take a bit of playing with, but is pretty straightforward to normalize and turn into a feature set. I ...

View answer
Data Science in C (or C++)
0 votes

Scalable Machine Learning Solutions for Big Data: I will add my $.02 because there is a key area that seems not to have been addressed in all of the previous posts - machine learning on big data! ...

View answer
1 2
3