Tagged Questions

4
votes
3answers
487 views

How do I find similarities between two sets of data

I have a group of data with 12 different football players, and they are rated for 11 different skills (speed, skill, flair, etc). I am looking to pair up individuals based on similar footballers, and ...
3
votes
2answers
557 views

Datasets for clustering algorithms

I am asked to give a lecture on clustering algorithms for an audience that is not very technical. With that in mind, I wanted to do a simple exercise where I will ask the audience to identify groups ...
2
votes
3answers
224 views

How to cluster survey data?

I have designed a rather long (250 Qn) survey designed to uncover user clusters. The questions are such that the pattern of answering should elicit user clusters, but I am having trouble uncovering ...
5
votes
2answers
510 views

Algorithms for clustering documents by similar words and phrases

I'm working on a project where I'm trying to take a pair of documents and find and group (cluster) similar words and phrases between them. Which algorithm would solve this kind of a problem? I know ...
7
votes
3answers
138 views

Mining search logs to improve autocomplete suggestions?

I have logs from an autocomplete form, which I would like to leverage to increase the intelligence of the results it returns. I have a project that revolves around users selecting opera characters ...
1
vote
4answers
765 views

How to convert nominal dataset into numerical dataset?

For my work, im using the multilabel dataset from this webpage. Few dataset which are listed in the page (for, e.g bibtex) have nominal attributes, i.e attribute values are 0 and 1. My queries are ...
3
votes
5answers
363 views

Looking for 2D artificial data to demonstrate properties of clustering algorithms

I am looking for datasets of 2 dimensional datapoints (each datapoint is a vector of two values (x,y)) following different distributions and forms ? Or is there any codes to generate such a datapoints ...
7
votes
2answers
362 views

When do we combine dimensionality reduction with clustering?

I am trying to perform document-level clustering. I constructed the term-document frequency matrix and I am trying to cluster these high dimensional vectors using k-means. Instead of directly ...
2
votes
1answer
110 views

What is heavy hitter analysis?

I have some data on the number of times each of my machines turned off (due to an error) in a particular time period. There are about 6 different classes of machines being used to construct a total ...