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Closed 11 years ago.
I am new to know about check sum. So kindly help me.
I have these four binary values and i need to calculate the check sum for these numbers.
They are
0111011101100
1011011000110
0011011011110
1011010110010
I really don't know the algorithm to calculate these values. Can somebody shed a light on this. Whats the final checksum for these four values.
There is no "the checksum". There are many algorithms for "checksum" calculation. CRC32, Adler32, in a certain way as well MD4, MD5, SHA1, other SHA algorithms, etc.
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Closed 10 years ago.
In many programming problems (e.g. some Project Euler problems) we are asked to report the answer as the remainder left after dividing the answer by 1,000,000,007.
Why not any other number?
Edit:
2 years later, here's what I know: the number is a big prime, and any answer to such a question is so large that it makes sense to report a remainder instead (as the number may be too large for a native datatype to handle).
Let me play a telepathist. 1000...7 are prime numbers and 1000000007 is the biggest one that fits in 32-bit integer. Since prime numbers are used to calculate hash (by finding the remainder of the division by prime), 1000000007 is good for calculating 32-bit hash.
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Closed 9 years ago.
I have 130 objects.Each object is defined by 13 points(2-d points),these 13 points form data_unit. Thus there are 130 data_units. I want to classify these data_units into 4 classes. How can we do this.k-means is not possible in this scenario what are the alternatives.
There is a whole set of classification methods based on technique called machine learning. The ones implemented in OpenCV are described here. You can try for example Support Vector Machines. Its a nice and fairly easy in use method, with some tricks to get past data that cannot be linearly separated.
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Closed 9 years ago.
I have numeric data which has missing values. I want to classify the data using Naive Bayes Classifier in Weka but the option is grayed out. Please help.
If a classifier is grayed out, it means that it doesn't support the kind of task you want to do. This could be because of the type of features or because of the type of predictions you want to make.
In your case it could be that you're trying to predict a numeric instead of a categorical attribute.
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Closed 10 years ago.
I have installed mahout and test run several examples; would it be safe to say that one of Mahout's advantages it being used for unstructured data (scalability aside)?
No... most of the algorithms take fairly specifically structured input like vectors or user-item pairs. There are some tools for vectorizing text docs which are unstructured. But no I wouldn't call it a tool primarily for unstructured data.
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Closed 10 years ago.
I used Mahout, it is great , but need something better that have more implemented algorithms and maybe faster
On the OS side there's WEKA, with a large collection of algorithms across learning disciplines.