Refers to techniques for classifying data into categories based on similarities (which can either be known previously, or learned).

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43 views

Neural network basic concepts

I want to apply neural network as an auto associative memory. So, the desired output is equal to the input. I would apply Hebbs rule to train the network. I have a pattern in the form ...
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21 views

Finding patterns in rows instead of columns

Let's say I have a dataset and instead of looking at the patterns and relationships between columns, such as plotting the distributions or a correlation matrix, I want to look at the relationship ...
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3answers
37 views

How to group/cluster similar words

Let say I have a list of words, such as: apple apale aaple apples oranges ornnges orange orage melons meeons meeon melon melan I want to group them based on ...
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19 views

Character Concatenations using ANN

I am new to machine learning, I want to do character concatenation/joining via Neural Networks. Please suggest me, how to approach to the problem? I propose I could simple provide image of un-...
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12 views

Calculate drive time between two measure points based on timestamps, vehicle length and speed

The measure points logs each passing car with the following data: vehicle length (precision at about 10 cm), speed and timestamp. The distance between the sample points and speed limit is also known. ...
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1answer
37 views

Pattern recognition and machine learning (Bishop) - Derivation of Evidence approximation

I'm reading section 3.5 of the PRML book, entitled Evidence approximation, and is having difficulty understanding this part: . I don't understand how to derive (3.75) from (3.74). The author says it ...
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17 views

Correlation : values data sets and unique keywords [duplicate]

I'm trying to figure out what's causing my stomach pain recently and I have logged the following data twice a day: A grade on a scale from 1 to 10 on how much my stomach hurts Foods (unique names) I'...
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1answer
21 views

Checking regression model

I am trying to play around with some data that I have got. Specifically, I have gathered data from an online database, which contain the following parameters: A can be (1,2,3,4,5), B and C which they ...
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15 views

Relation discovery between two time series data

I'm looking at analyzing the relation between temperature & sales/searhes of particular product at a daily grain The relationship is little complex, for example Sales go up for low temperature ...
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1answer
29 views

Letter recognition feature extraction

I have few thousands letter's images which are all colored black on a white background. I wanted to extract their features so that it was possible to cluster them effectively. My attempt was to ...
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1answer
24 views
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34 views

Is the data visualization a sufficient indication for the separability of the data? What are the other indications of the data separation?

In other words, let's say we have a data representation as in the image below, which is generated from the PCA, the projection of the data onto the first two PCs. As it's shown in the 2-D space, the ...
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1answer
23 views

How many clusters I should choose using spectral clustering? [duplicate]

I tried to cluster my data using spectral clustering algorithm. Before applying clustering algorithm, I used PCA on the data, which gave me 4 PC accounting for 95% of variation. After that I plotted ...
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39 views

Best step pattern for unconstrained/subsequence DTW(Dynamic Time Warping)

I am implementing an unconstrained/subsequence DTW algorithm (in R). The query of data which I am trying to find a match within the reference data is much smaller (as compared to reference). I have ...
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14 views

Critical point in time series and pattern comparison

I have some data from a recent experiment. Two factors, each had 2 levels, resulting in 4 conditions. In each condition there were 12 participants, so 48 participants in total. Each participant ...
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0answers
11 views

Counting repetitions

I would like to count how many times a pattern occurs in a signal and I'm confused what is the best method to do that. As I see it I could train a classifier to recognize the pattern that I'm ...
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0answers
27 views

Best neural network architecture for binary inputs and output (MATLAB)?

My input features are binary (0 and 1) and my output is binary (0 and 1). Currently I'm using patternnet function of MATLAB R2016a with default properties. Any ...
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1answer
46 views

the trees in a Random Forest

What I want to ask is as follows: Is it possible that there are many identical trees in a Random Forest? If there was very little different training data in a tree sample by bootstrap aggregating, ...
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22 views

Variable-length time series - neural network

I have data about patient purchases - specifically, how late their fulfillment of prescriptions are, or if they filled them at all. I want to feed this data into a neural network to classify them. ...
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28 views

Statistic test for correlation among multiple variables || statistical test for confirming sales pattern among multiple items

While thinking about sales of a company, I came across a question. I have data like below: Day1 day2 ......day30. item1 10. 20. ....... 30. ...
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11 views

finding and comparing temporal and location-specific pass patterns in a soccer game

I have data on several soccer matches, where ball passes have been recorded in terms of XY-location where the pass starts, XY location where the pass ends, the team making the pass, the player making ...
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0answers
16 views

Count branch points of a tree

Suppose I have a large b/w image of a tree and would like to find the branch points. To that end I generate, say, 1000 artificial 32x32 images of branches, where by construction I know which images ...
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13 views

Detecting images inside website snapshots and extracting them with machine learning

I was wondering if I could detect images inside website snapshots and cut them out of the snapshot. for example I can download Image Snapshots from any website via PhantomJS. this gives me a (usually)...
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2answers
32 views

10 class problems with 324 features - am I recognition class based on multiple features, class based on the pattern of one feature?

I am trying to balance 324 features for a 10 class problems, but it just seem humanly impossible, The problem i am studying consist of recognizing character , each observation consist of 324 ...
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12 views

gesture recognition using feed forward Neural Network

I would like to prepare software that allows me to capture a gesture. It will be very useful in my further project sucha as a game or smart white board. The algorithm flow is quite obvious. get a ...
3
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1answer
114 views

Finding a pattern in time series data

I have time series data. I am looking for a procedure to find if a particular pattern exists in the time series. To make it more clear, suppose I have a base time series in which the check for the ...
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1answer
36 views

Determine how much order/structure is present in a 2D array of values

I have a large 2D array of numbers that may or may not be totally random. I would like to examine this array for signs of non-randomness, such as repeating patterns or other two-dimensional structures....
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16 views

Pattern recogniton in measured data

I am looking for a way to find patterns in a large amount of data and compare it to a reference set. To give an example: I have as reference the data about power consumption of a machine during the ...
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3answers
88 views

Statistics books for someone who has a conceptual base in introductory statistics but little programming background in R

Background: The most recent statistics class I've taken in university goes over topics such as experimental design, tests for Normality, comparing two samples, categorical data analysis, linear ...
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23 views

Any feature evaluation method without classifier?

My question is below: In a view of pattern recognition (or machine learning), is there any method to evaluate feature vector without using classifier? For now, if i want to evaluate something new ...
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37 views

Time series pattern recognition tools

I have a matrix of 500 X 12 of time series, represented by each row. The columns being the 12 sampling times. I have also another matrix of 500 X 1 corresponding to 500 time series of which we only ...
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1answer
49 views

How to select relevant features for binary classification from a given set of features using p values?

Lets say I have 50 features and want to select few relevant features (say around 20 features) for binary (2 class) classification. I have studied that we can use p values to decide which features are ...
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282 views

Keras - LSTM loss increasing for each epoch

I'm using Keras to build and train a recurrent neural network. ...
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0answers
16 views

Neural Network Structure Sentence

I'm new in Stats SE. I'm trying to figure how can I can give a preprocessed sentence (with dependency parsing structure and pos tags), and prepare a training set, to my network be able to predict the ...
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0answers
49 views

Face authentication system using Convolution Neural Network (CNN)

I'm working on developing an face authentication system using Convolution Neural Network (CNN). I know that the CNN can be used to classify two classes. However, my problem is how can I train the CNN ...
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14 views

How to find the coefficient of parameters of shape and scale parameters of weibull distribution in Novel Energy pattern factor method?

Novel energy pattern factor method for Weibull distribution Please have a look on the paper for the further clarification of the question . Please help me out for finding out the coefficient of ...
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1answer
45 views

Computing Positive definite covariance matrix in Variational Bayes GMM

This question is about a part of variational Bayes problem for GMM. (more in Bishop, Pattern recognition and Machine learning, part $10.2.1$). We are looking for $q(\mu_k,\Lambda_k)$, so we have: $$ ...
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2answers
57 views

“Controlling” for multiple sequential association rules?

Assume I have data along the following lines A-A-B-C A-A-B-C A-A-B-C Then I test the following sequential association rule: "A-A precedes C", which is true 100% ...
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34 views

Features for web categorization using machine learning

I'm working on a project to categorize web pages to several category, and I and my supervisor decided to categorize it into blog article, news article, online store, and forum discussion. I've done ...
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52 views

what would be the suitable machine learning algorithm for Pattern/Event Detection for the following Time Series Data?

Time Series Data Plot Please refer to the above link to understand the Data View. Background for the data : It is the data of a single variable from a machine like Bulldozer(Pressure of the ...
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5 views

BIS related and reference material + neural network implementation

We are making a Business intelligence prediction engine that employs data mining,machine learning,graph/pattern matching. Can anyone please suggest good reference material + should we implement it ...
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2answers
49 views

Dynamical time warping for dynamical system classification

I am trying to find a way to classify and segment a large set of time series that each individually describe a dynamical system. I wanted to know if the following idea for doing so is a feasible ...
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33 views

Time series pattern match in large datasets

I want to find in a time series pattern that look similar to a predifined one. At the moment I am using DTW to do this and it works well. But now I want to use it for larger datasets like finding a ...
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1answer
54 views

Is my scatter chart random

I used =RAND()*500 in Excel and added to a scatter chart: How can I know if it is indeed Random?
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2answers
69 views

What does “the process that generates the data” mean? and How does feature selection help in recovering it?

In [1], one of the motivations to use feature selection is stated to be: "to gain knowledge about the process that generated the data". What does this "process" actually mean? and How does feature ...
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1answer
42 views

Working with subsets of the original data matrices for machine learning

I have seen very educational applications of pattern recognition on complete images. I was wondering if there are methods that could handle cases with the following specifications: instead of full ...
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1answer
80 views

Which 1D graphical pattern recognition algorithm can I use to find similar, fuzzy patterns?

I have data in form of a grayscale bitmaps. The x axis represents different instances and the y axis represents time. For example each pixel's gray value could represent the number of bytes ...
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1answer
50 views

Comparing learning methods for facial recognition

I'm studying machine learning for a final exam and I'm trying to solve an example exam question where you need general knowledge of various machine learning methods. The question goes as follows: ...
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43 views

How much does adding few input features to a SVM model affect its 'optimal' parameters?

I have trained a SVM model with RBF kernel, the parameter values of which have been selected by grid searching a wide range of (cost, ...
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2answers
150 views

What test is appropriate for comparing the difference in accuracy between recognition tools?

I have developed a tool that recognizes a set of six classes, and then tested and evaluated its ability to recognize these classes by using the F-score (aka F-measure). I then tested two other tools ...