0
votes
0answers
27 views

Distribution fiting on time spent of web pages

I'm trying to fit distributions of time spent on web pages. My goal is to cluster users based on the time spent distribution. My data set looks like following. (p1,p2 and p3 are web pages and time(in ...
0
votes
0answers
21 views

How to find probability distribution of a multi-attribute datapoint in a dataset

I have a dataset with certain number of multi-attribute tuples. Each of the attribute values is a continuous random variable. I want to model each tuple (rather each attribute of the tuple) by a ...
4
votes
0answers
35 views

Which groups of results is the closest to a central point?

I'm building an application where a specific location is chosen, multiple services are polled to return results for that specific location and shown on a map. I have the results from the different ...
2
votes
3answers
482 views

How to find the number of clusters in 1d data and the mean of each

We have a list of prices and need to find both the number of clusters (or intervals) and the mean price of each cluster (or interval). The only constraint is that we want cluster means to be at least ...
0
votes
1answer
209 views

Use of a Poisson distribution from a distance matrix to determine dbscan parameters

I´ve been researching about automatic determination of parameters for DBSCAN (a density-based clustering algorithm -- http://en.wikipedia.org/wiki/DBSCAN), especially eps, and have found the following ...
1
vote
1answer
46 views

Generating rules to obtain a given categorical distribution… is it possible?

I'm working on a problem, I was wondering if there are any methods available to do the following. I have a data set with information on people (continuous and categorical data). I have 3 categories ...
0
votes
0answers
38 views

Clustering samples from non-stationary multivariate distributions

I have dataset consisting of samples from a n-multivariate probability distribution, i.e each sample is a n-dimensional vector. The data source is known to be non-stationary in nature. I have been ...
0
votes
1answer
82 views

Cluster detection in a distribution [duplicate]

Possible Duplicate: Determine different clusters of 1d data from database I am trying to detect clusters, i.e. segments on a linear scale, with visibly higher concentration of distribution ...
0
votes
1answer
282 views

KL divergence or similar “distance” metric between two multivariate distributions

I have a large dataset composed of many samples; each sample is as follows: imagine a grid indexed by i,j for a sample k, I have Y_k, where Y_k(i,j) is the probability density for k at (i,j) of ...
1
vote
1answer
361 views

Cluster analysis with skewed distibutions

For my master's thesis I would like to use different clustering algorithms to cluster municipalities (as objects) in regard to their land-use characteristics (as variables). Analyzing my data ...
1
vote
0answers
61 views

How to sum cluster data?

I have a binary variable with probit model, i.e., $P(Y_{ij}=1|X_j)= \Phi(a_i+b_iX_j)$, where $X_j$ is $\mathcal N(0,1)$, and $a_i$ and $b_i$ are regression parameters. I am wondering what the ...
1
vote
2answers
142 views

How to cluster multidimensional (parametric) distributions?

It seems to me that it is possible to cluster unidimensional distribution in the space of their parameters, for example, we can try to find similar normal distributions in the space of $(\mu,\sigma)$ ...
4
votes
3answers
298 views

How to sample natural numbers, such that the sum is equal to a constant?

Say I have $N$ items that are partitioned / clustered and I want to randomly repartition these items, such that the distribution of sizes of the clusters is 'similar' to those that I already have. I'm ...
4
votes
6answers
1k 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. Code to generate such data would also be helpful. I ...
1
vote
0answers
65 views

How to find regions where points are localized in a non-random fashion?

Experiment Let say I have a black box full of numbered balls and I draw them with replacement - so the propability of drawing one specific number in N draws is described by binomial distribution? ...
6
votes
1answer
841 views

Clustering probability distributions - methods & metrics?

I have some data points, each containing 5 vectors of agglomerated discrete results, each vector's results generated by a different distribution, (the specific kind of which I am not sure, my best ...
5
votes
1answer
359 views

A measure to describe the distribution of a dendrogram

Could anyone suggest some statistical measures to describe the distribution of a dendrogram? If I have two dendrograms, how could can I quantify their structural differences?