All Questions
27 questions
0
votes
1
answer
51
views
Problems Determining Optimal Cluster Number for Time-Series Data
I'm facing problems with determining the right number of clusters for my 2D time-series data.
I have a numerical simulation that outputs a time-series of 2D grids that represent a mass density ...
0
votes
0
answers
51
views
Identifying states (or clusters) in multivariate mixed-type time series
I have multivariate time series with mixed data types, which includes continuous variables, binary variables, and variables with bimodal distributions. I need to identify distinct states or epochs in ...
- 1
0
votes
1
answer
47
views
Comparison of time series: Cluster behaviors / detect anomalies
I am studying a dataset of time series for different users. The dataset contains records of actions (or registrations) of the users over time. I have data of a whole week for about 80,000 users.
...
- 1
0
votes
0
answers
89
views
Silhouette Score for ordered clusters
My clusters are arranged according to a time series, and I want to compute the silhouette score for the clustering performed, considering that they follow an order. Therefore the nearest cluster to ...
- 101
2
votes
2
answers
1k
views
Time series clustering on large data
I am trying to do K-means clustering on my data which has time series length of 3700 and for (latitude,longitude) points of around 6000 in length. However, timeseries clustering using tslearn package ...
0
votes
1
answer
108
views
Time Series clustering: clustering a dictionary of time series
I'm working on classifying times series to find clear pattern of use. My data is collected from clients of a telecom company, and we want to detect pattern of the amount of data consumed by clients ...
1
vote
1
answer
823
views
Cluster on variable-length time series
I have a series like this:
list_1 = [5,3,6,7,8,9,0,5,5,2,4,66,7]
list_2 = [6,39,6,4,7]
I would like to know Is all list_2 or subsequence ...
0
votes
1
answer
120
views
How should I do clustering when I have a mix of single-element and time series features?
I'm trying to cluster together different short audio files based on the zero-crossing rate (an integer) and the energy, spectral centroid, and spectral bandwidth (time-variant values). I've decided ...
- 155
2
votes
1
answer
360
views
Discovering peaks/patterns in time-series and clustering them
I have a dataset which contains minute level sensor measurements. Sample is shown here:
To me useful information are these peaks in time series, mostly their peak and duration. My idea is to take out ...
- 21
0
votes
0
answers
40
views
Any methods for clustering short time series data
I have around 200 different sets of time series data with a semi-annual periodicity.
The length of each series varies from 1 to 6 years.
I essentially want to build unsupervised clusters by grouping ...
- 21
-1
votes
2
answers
139
views
Similarity measure/metric for long time series
I'm looking for a similarity measure/metric to cluster long time-series datasets. I feel that Euclidean distance won't do any good for my application, for it is not robust enough to detect patterns ...
- 31
1
vote
1
answer
48
views
Analysis on cluster change
I have 50 datasets each for every year from 1961 to 2010.
These datasets keep data about GDP, mortality, natality, etc.
My intent is to apply clustering for each dataset and then compare clusters. ...
- 11
0
votes
1
answer
192
views
clustering location based on sorted time
I clustered my dataset based on location using DBSCAN(haversine). Everything is OK until this. However, I'd like to use the time series while I'm clustering my dataset. For example. You were at home ...
- 1
2
votes
0
answers
94
views
What are the simple methods to do an unsupervised cluster to stock return time series?
I am a student in finance and I am working on my thesis project. I am interested in doing a clustering to stock time series. I first read the paper 'Time-series clustering – A decade review' from ...
- 21
6
votes
1
answer
3k
views
Suitable distance metric for time-series clustering with respect to location of shapes
I'm doing clustering on time-series (each time-series has the information for one day = 24 hours). For the clustering purpose, it's important for me to consider the time period in which the shape of ...
- 73
3
votes
2
answers
4k
views
What are some fast alternatives to dynamic time warping? [closed]
I am planning to cluster a great amount of time series of different lengths into groups without using the method Dynamic Time Warping, but something else which gives a little better execution time and ...
- 31
1
vote
1
answer
788
views
Intervention/Level Shift detection
I don't really know if this problem can be considered as an intervention detection/analysis problem. The data shown below is actually a sensor signal collected from an air booster. The air booster has ...
- 241
0
votes
1
answer
1k
views
Multivariate time series clustering in R
At the moment I have two matrices in R which both hold a number of products and their time series based on 2 variables(Sales and Inventory)
There are 4000 products per set and all time series have t-...
- 1
2
votes
2
answers
61
views
How do I present multiple check in-check out intervals to clustering algorithms?
I am trying to cluster employees based on their check in-check out time.
Employee can check-in/checkout any number of times in a day. My plan is to use one month data.
Please let me know how to ...
- 523
0
votes
1
answer
232
views
Cluster Employees based on multiple Check in-Check out time in a day
Using machine learning techniques, is it possible to analyse Employee Check in-Check Out time over a period of time and cluster them.
1. An employee can check-in/checkout any number of times in a day....
- 523
-1
votes
1
answer
265
views
Clustering data with mixed attributes: timeseries and constants?
I have a data set of time series, and each time series has a set of attributes. I know I can cluster time series using dynamic time warping and k-means (https://github.com/alexminnaar/time-series-...
- 169
11
votes
2
answers
5k
views
Multivariate time series clustering
I am collecting a group of multivariate time sequences. For example, there are 2000 time series. Each time series is of 12 dimensions.
Are there any systematic models/algorithms that can cluster ...
- 5,282
6
votes
5
answers
2k
views
What is the best way to detect repetition in xyz data for purposes of splitting data?
I'll use this picture to explain
What I want to do is define some patterns as trained patterns. Then given data I want to be able to determine if the pattern exists in the dataset, and if it does ...
- 163
2
votes
2
answers
921
views
Clustering methods that take data order into account
Is there any clustering methods that allows to take the time information (i.e. data order) into account ? That is, in addition to maximising intra-cluster similarity and minimising inter-cluster ...
- 115
2
votes
0
answers
951
views
clustering analysis of large amount of time series
I would like to cluster a set of time series, which are composed of around 50000 different time series. Are there established algorithms/package that can handle this scalability problem?
- 3,089
1
vote
2
answers
2k
views
Time Series Similarity : Differing Lengths with R
I am experimenting with creating a distance matrix between time series for clustering and similarity searching. The main reference I am using is for the Similarity procedure in SAS (Paper). I would ...
- 8,850
1
vote
1
answer
144
views
For data similar to audio, how to determine if there are 1 or 2 categories? [closed]
I have to compare pairs of audio strems as 1d time series. Looking at the aligned trajectories I need to either cluster them together or assume they arise from independent generators.
I remember ...
- 1,705