2
votes
0answers
28 views

Co-occurrence statistics for sets

I am looking for help in the following situation: I have a set of numbers $A=\{1, 2, \dots, 100\}$, and I am drawing subsets of 10 of these numbers $\{a_1, a_2, \dots, a_{10}\}$ according to an ...
1
vote
0answers
32 views

Reducing high dimensionality as well as feature selection on multivariate time series

Lately I've been reading a lot about time series clustering as I want to search for similar patterns in my own data set. Even though I feel like I understand the basic concepts of this task I still ...
0
votes
0answers
63 views

Computing a distance matrix between multiple multivariate time series

This question has also been asked on stackoverflow.com. Yet my aim is to ask for efficiency gains on the aforementioned platform. My aim here is the correctness of my approach. I am trying to cluster ...
0
votes
0answers
20 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
1answer
517 views

Differences between clustering and segmentation

I have read about piecewise aggregate approximation (PAA) mining time series data, sliding window, top down and bottom up approaches for time series segmentation but these are applicable to single ...
5
votes
1answer
48 views

Identifying clusters/ordination based on correlation statistic?

I'm attempting to find a way to judge the similarity of various sample groups, based on the strength of correlation to a set of variables within each group, and I'm trying to figure out if what I'm ...
2
votes
2answers
192 views

Suggestions for clustering ordinal, non-normal data (unsupervised)

I have data from about 250 self-injurers and would like to cluster analyze their reported motivations for self injury (and then explore cluster membership vis-a-vis various psychological measures). I ...
5
votes
0answers
81 views

Co-occurrence of properties in a population

I have 150 properties that may occur in a population of 10000 people. Individual people may have none, one or a couple of these properties. The properties are not mutually exclusive and have different ...
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 ...
1
vote
0answers
132 views

Hypothesis testing to determine cluster outliers

I have a cluster of $p$-dimensional data from $n$ samples which is assumed to be normally distributed as a multivariate Gaussian with sample mean ${\bar{\mu}}$ and sample covariance matrix ...
3
votes
2answers
714 views

Ways to measure distance from multivariate Gaussian (Mahalanobis distance)

I have a cluster of p-dimensional points and given a new p-dimensional point $x$ I want to determine whether or not it is likely to belong to this cluster. The cluster is made up of $n$ ...
4
votes
1answer
2k views

What to do when sample covariance matrix is not invertible?

I am working on some clustering techniques, where for a given cluster of d-dimension vectors I assume a multivariate normal distribution and calculate the sample d-dimensional mean vector and the ...
1
vote
0answers
21 views

Curve based clustering of multivariate data (time series like data) [duplicate]

Possible Duplicate: Reducing no of variables subsetted based on depth for PCA I have a question, I am trying to apply a method to my research area, which has not been aplied yet, based on ...
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 $(\mu,\sigma)$ ...
6
votes
0answers
244 views

Clustering & Time Series

I have a multivariate dataset that changes over time. I have extracted (and normalised) some features and used k-means to generate clusters over the entire span of the dataset. Now I want to see ...
4
votes
3answers
628 views

Dimensionality reduction using self-organizing map

Self-organizing maps are claimed to be an approach for dimensionality reduction. However, I am kind of confused about this claim. Consider the following example, I have a data set with 200 data ...
2
votes
1answer
559 views

Looking for a hierarchical-clustering method for multiple data types

I would like to find a hierarchical-clustering method useful to assign a group membership into k groups for all individuals in my dataset. I have considered several classic ordination methods, PCA, ...
8
votes
2answers
723 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
184 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 ...
4
votes
1answer
3k views

Two-way clustering in R

I'm wondering how to implement two-way clustering, as explained in Statistica documentation in R. Any help in this regard will be highly appreciated. Thanks